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Excel 2010 for Business Statistics: A Guide to Solving Practical Business Problems Thomas Quirk (auth.) Springer, 1, 2011

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Excel 2010 for educational and psychological statistics : a guide to solving practical problems Thomas Quirk (auth.) Springer-Verlag New York, 2012, 2011-12-15

Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis. Despite this, there has yet to emerge a truly practical, “how-do-I-do-it” manual that teaches the various applications and processes/formulas for Excel in educational and psychological Statistics. Quirk’s Excel 2010 for Educational and Psychological Statistics will fill this void, as it is designed to be a step-by-step, exercise-driven guide for education and psychology students who need to master Excel to create formulas and solve statistical problems. Each chapter first explains briefly the formulas that are included in the chapter, and then directs the student on how to use Excel commands and formulas to solve a specific business problem. Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. At the end of the Excel Guide, an additional Practice Exam allows the reader to test his or her understanding of each chapter by attempting to solve a specific educational or psychometrical issue or problem using Excel (the solution to this problem is also given in an Appendix). From the beginning of the book, readers/students are taught how to write their own formulas and then how to utilize Excel drop-down formula menus as well for such exercises involving one-way ANOVA, simple linear regression, and multiple correlation. From the Back Cover This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems in education and psychology. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and practitioners, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand problems in education and psychology. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 163 illustrations in color. About the Author At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, and General Psychology at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has published articles in the Journal of Educational Psychology, Journal of Educational Research, Review of Educational Research, Journal of Educational Measurement, Educational Technology, The Elementary School Journal, Journal of Secondary Education, Educational Horizons, and Phi Delta Kappan. In addition, he has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings, including annual meetings of The American Educational Research Association, The American Psychological Association, and the National Council on Measurement in Education. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis.

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Excel 2010 for educational and psychological statistics : a guide to solving practical problems Thomas Quirk (auth.) Springer-Verlag New York, 2012, 2011-12-15

Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis. Despite this, there has yet to emerge a truly practical, “how-do-I-do-it” manual that teaches the various applications and processes/formulas for Excel in educational and psychological Statistics. Quirk’s Excel 2010 for Educational and Psychological Statistics will fill this void, as it is designed to be a step-by-step, exercise-driven guide for education and psychology students who need to master Excel to create formulas and solve statistical problems. Each chapter first explains briefly the formulas that are included in the chapter, and then directs the student on how to use Excel commands and formulas to solve a specific business problem. Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. At the end of the Excel Guide, an additional Practice Exam allows the reader to test his or her understanding of each chapter by attempting to solve a specific educational or psychometrical issue or problem using Excel (the solution to this problem is also given in an Appendix). From the beginning of the book, readers/students are taught how to write their own formulas and then how to utilize Excel drop-down formula menus as well for such exercises involving one-way ANOVA, simple linear regression, and multiple correlation. Erscheinungsdatum: 15.12.2011

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Excel 2010 for educational and psychological statistics : a guide to solving practical problems Thomas Quirk (auth.) Springer-Verlag New York, 2012, 2011-12-15

Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis. Despite this, there has yet to emerge a truly practical, “how-do-I-do-it” manual that teaches the various applications and processes/formulas for Excel in educational and psychological Statistics. Quirk’s Excel 2010 for Educational and Psychological Statistics will fill this void, as it is designed to be a step-by-step, exercise-driven guide for education and psychology students who need to master Excel to create formulas and solve statistical problems. Each chapter first explains briefly the formulas that are included in the chapter, and then directs the student on how to use Excel commands and formulas to solve a specific business problem. Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. At the end of the Excel Guide, an additional Practice Exam allows the reader to test his or her understanding of each chapter by attempting to solve a specific educational or psychometrical issue or problem using Excel (the solution to this problem is also given in an Appendix). From the beginning of the book, readers/students are taught how to write their own formulas and then how to utilize Excel drop-down formula menus as well for such exercises involving one-way ANOVA, simple linear regression, and multiple correlation. Erscheinungsdatum: 15.12.2011

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This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Business Statistics: A Guide to Solving Practical Business Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 165 illustrations in color.

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Excel 2010 for educational and psychological statistics : a guide to solving practical problems Thomas Quirk (auth.) Springer Science+Business Media, LLC, 10.1007/97, 2012

Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis. Despite this, there has yet to emerge a truly practical, “how-do-I-do-it” manual that teaches the various applications and processes/formulas for Excel in educational and psychological Statistics. Quirk’s Excel 2010 for Educational and Psychological Statistics will fill this void, as it is designed to be a step-by-step, exercise-driven guide for education and psychology students who need to master Excel to create formulas and solve statistical problems. Each chapter first explains briefly the formulas that are included in the chapter, and then directs the student on how to use Excel commands and formulas to solve a specific business problem. Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. At the end of the Excel Guide, an additional Practice Exam allows the reader to test his or her understanding of each chapter by attempting to solve a specific educational or psychometrical issue or problem using Excel (the solution to this problem is also given in an Appendix). From the beginning of the book, readers/students are taught how to write their own formulas and then how to utilize Excel drop-down formula menus as well for such exercises involving one-way ANOVA, simple linear regression, and multiple correlation.

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Excel 2013 for Physical Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) Springer International Publishing : Imprint : Springer, Excel for statistics, 1st ed. 2016, Cham, 2016

This book shows the is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Physical Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.

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Excel 2007 for Biological and Life Sciences Statistics || || Front_matter Quirk, Thomas J.; Quirk, Meghan; Horton, Howard Springer London, Limited, 10.1007/978-1-4614-6003-9, 2013

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. n Includes 162 illustrations in color n Suitable for undergraduates or graduate students

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Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing, Excel for statistics, 2nd ed, Cham, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

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Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk,Eric Rhiney (auth.) Springer International Publishing : Imprint: Springer, Excel for Statistics, Excel For Statistics, 2, 2021

This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.

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Excel 2019 in Applied Statistics for High School Students: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing AG; Springer, Excel for Statistics, Excel for Statistics, 2, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

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Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2013 for Engineering Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isnℓ́ℓt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 162 color screen shots to show the reader how to perform Excel steps correctly Suitable for undergraduates or graduate students At the beginning of his academic career, Prof. Tom J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph. D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis

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Excel 2016 for Human Resource Management Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Julie Palmer-Schuyler (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published __Excel 2013 for Human Resource Management Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Human Resource Management Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2010 for Biological and Life Sciences Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J. Quirk, Meghan Quirk, Howard Horton (auth.) Springer-Verlag New York, 1, 2013

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2010 for Physical Sciences Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J Quirk, Meghan Quirk, Howard Horton (auth.) Springer International Publishing : Imprint : Springer, 2013, 2013-09-03

This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 159 illustrations in color Suitable for undergraduates or graduate students

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Excel 2007 for Biological and Life Sciences Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J. Quirk, Meghan Quirk, Howard Horton (auth.) Springer-Verlag New York, 1st ed. 2013, New York, NY, 2013

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2007 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing, Excel for statistics, 2nd ed, Cham, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

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Excel 2013 for Human Resource Management Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Julie Palmer-Schuyler (auth.) Springer International Publishing : Imprint : Springer, Excel for statistics, 1st ed. 2016, Cham, 2016

This book shows how Microsoft Excel is able to teach human resource management statistics effectively. Similar to the previously published __Excel 2010 for Human Resource Management Statistics__, it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. __Excel 2013 for Human Resource Management Statistics: A Guide to Solving Practical Problems__ is the next book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing, Excel for statistics, 2nd ed, Cham, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

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Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing, Excel for statistics, 2nd ed, Cham, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

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Excel 2010 for Physical Sciences Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J Quirk, Meghan Quirk, Howard Horton (auth.) Springer International Publishing : Imprint : Springer, 2013, 2013-09-03

This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 159 illustrations in color Suitable for undergraduates or graduate students

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lgli/Thomas J. Quirk - Excel 2019 in Applied Statistics for High School Students: A Guide to Solving Practical Problems (2021, Springer).pdf

Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing, Excel for statistics, 2nd ed, Cham, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

英语 [en] · PDF · 12.0MB · 2021 · 📘 非小说类图书 · 🚀/lgli/scihub/zlib · Save

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Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing, Excel for statistics, 2nd ed, Cham, 2021

This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.

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Excel 2007 for educational and psychological statistics : a guide to solving practical problems Thomas J. Quirk (auth.) Springer-Verlag New York, 1, 2012

This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems using statistics. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and practitioners, is also an effective teaching and learning tool for quantitative analyses in courses in education and psychology. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2007 for Educational and Psychological Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand statistics problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2016 for Physical Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) Springer International Publishing Springer International Publishing, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published __Excel 2013 for Physical Sciences Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Physical Sciences Statistics: A Guide to Solving Practical Problems__ capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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scihub/10.1007/978-3-319-00630-7.pdf

Excel 2010 for Physical Sciences Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J Quirk, Meghan Quirk, Howard Horton (auth.) Springer International Publishing : Imprint : Springer, 10.1007/97, 2013

This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 159 illustrations in color Suitable for undergraduates or graduate students

英语 [en] · PDF · 11.6MB · 2013 · 📘 非小说类图书 · 🚀/lgli/scihub/zlib · Save

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Excel 2010 for Biological and Life Sciences Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J. Quirk, Meghan Quirk, Howard Horton (auth.) Springer London, Limited, 10.1007/97, 2013

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 162 illustrations in color Suitable for undergraduates or graduate students

英语 [en] · PDF · 11.9MB · 2013 · 📘 非小说类图书 · 🚀/lgli/scihub/zlib · Save

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Excel 2010 for Human Resource Management Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J Quirk, Julie Palmer-Schuyler (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2014

This is the first book to show the capabilities of Microsoft Excel to teach human resource management statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Human Resource Management Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 159 illustrations in color Suitable for undergraduate and graduate students

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Excel 2007 for business statistics : a guide to solving practical business problems Thomas J. Quirk (auth.) Springer-Verlag New York, 2012, 2012-08-09

This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2007 for Business Statistics: A Guide to Solving Practical Business Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 8.5MB · 2012 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

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Excel 2007 for social science statistics : a guide to solving practical problems Thomas J. Quirk (auth.) Springer-Verlag New York, 1, 2012

This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2007 for Social Science Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 8.2MB · 2012 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

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Excel 2016 for Health Services Management Statistics: A Guide to Solving Problems (Excel for Statistics) Thomas J. Quirk, Simone M. Cummings (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching health services management statistics effectively. Similar to the previously published __Excel 2013 for Health Services Management Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health service management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health service courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Health Services Management Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand health service management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 12.3MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/upload/zlib · Save

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Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand biological and life science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2010 for Health Services Management Statistics [recurso electrónico] A Guide to Solving Practical Problems Thomas J. Quirk, Simone Cummings (auth.) Springer International Publishing, 1, 2014

This is the first book to show the capabilities of Microsoft Excel to teach health services management statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health services management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Health Services Management Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand health services management problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 10.9MB · 2014 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save

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Excel 2016 for Environmental Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published __Excel 2013 for Environmental Sciences Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Environmental Sciences Statistics: A Guide to Solving Practical Problems__ capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2013 for Environmental Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) Springer International Publishing : Imprint: Springer, Excel for statistics, 1st ed. 2015, Cham, 2015

This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Environmental Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2010 for Environmental Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1st ed. 2015, Cham, 2015

This is the first book to show the capabilities of Microsoft Excel to teach environmental sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental sciences problems. If understanding statistics isn't your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Environmental Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 162illustrations in color Suitable for undergrad uates or graduate students Prof. Thomas J. Quirk is currentlya Professor of Marketingin the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA)where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis. Dr. Meghan H.Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University ofNorthern Colorado (UNC) and a B.A. in Biology and Religion at Pri ncipia College in Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry &Photobiology.She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long Term Ecological Research at Too lik Lake, Alaska, and Wind Cave, South Dakota. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator for Colorado Parks and Wildlife (USA)

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Excel 2013 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J Quirk, Meghan Quirk, Howard F Horton (auth.) Springer International Publishing : Imprint: Springer, Excel for Statistics, 1, 2015

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2013 for Educational and Psychological Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint: Springer, Excel for statistics, 1st ed. 2015, Cham, 2015

This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems in education and psychology. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and practitioners, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Educational and Psychological Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand problems in education and psychology. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2010 for social science statistics : a guide to solving practical statistics problems Thomas J. Quirk (auth.) Springer-Verlag New York, 2012, 2012-05-31

This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Social Science Statistics: A Guide to Solving Practical Statistics Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 164 Illustrations in color.

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Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint: Springer, Excel for statistics, 1st ed. 2015, Cham, 2015

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Excel 2016 for Advertising Statistics : A Guide to Solving Practical Problems Thomas J. Quirk,Eric Rhiney (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2017

This text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. __Excel 2016 for Advertising Statistics__ explains statistical formulas and offers practical examples for how students can solve real-world advertising statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific advertising statistics problems. This book gives practice in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical advertising statistics problem using Excel; the solution to each of these problems is also given in an Appendix. * · Includes 167 illustrations in color * · Suitable for undergraduates or graduate students

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Excel 2010 for Engineering Statistics : A Guide to Solving Practical Problems Thomas J. Quirk (auth.) Springer International Publishing : Imprint: Springer, 1st ed. 2014, Cham, 2014

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2010 for Engineering Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 159 Illustrations in color Suitable for both undergraduate and graduate courses

英语 [en] · PDF · 11.7MB · 2014 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

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Excel 2019 for Environmental Sciences Statistics : A Guide to Solving Practical Problems Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton (auth.) Springer International Publishing : Imprint: Springer, Excel for Statistics, Excel for Statistics, 2, 2021

This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2016 for Environmental Sciences Statistics , this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Environmental Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 12.0MB · 2021 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

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Excel 2013 for Health Services Management Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Simone Cummings (auth.) Springer International Publishing AG, Excel for statistics, 1st ed. 2016, Cham, 2016

This book shows how Microsoft Excel is able to teach health services management statistics effectively. Similar to the previously published __Excel 2010 for Health Services Management Statistics__, it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health services management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. __Excel 2010 for Health Services Management Statistics: A Guide to Solving Practical Problems__ capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand health services management problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 12.1MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

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Excel 2013 for Social Sciences Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, Aufl. 2015, Cham, 2015

This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Social Science Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. * Includes 167 illustrations in color * Suitable for upper undergraduates or graduate students

英语 [en] · PDF · 12.8MB · 2015 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

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Excel 2013 for Business Statistics: A Guide to Solving Practical Business Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing :, Excel for Statistics, 1, 2015

This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2013 for Business Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems.Practice problems are provided at the end of each chapter with their solutions in an Appendix.Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 13.0MB · 2015 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

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Excel 2016 for Business Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint: Springer, Excel for statistics, 1st ed. 2016, Cham, 2016

This book shows the capabilities of Microsoft Excel in teaching business statistics effectively. Similar to the previously published __Excel 2010 for Business Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Business Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 12.5MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/upload/zlib · Save

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Excel 2016 for Marketing Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk, Eric Rhiney (auth.) Springer International Publishing : Imprint : Springer, Excel for statistics, 1st ed. 2016, Cham, 2016

This is the first book to show the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Marketing Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 11.9MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/upload/zlib · Save

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Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published __Excel 2013 for Social Sciences Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. * Includes 167 illustrations in color * Suitable for upper undergraduates or graduate students At the beginning of his academic career, Prof. Tom J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis.

英语 [en] · PDF · 13.1MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save

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Excel 2016 for Educational and Psychological Statistics: A Guide to Solving Practical Problems (Excel for Statistics) Thomas J. Quirk (auth.) Springer International Publishing : Imprint : Springer, Excel for Statistics, 1, 2016

This book shows the capabilities of Microsoft Excel in teaching educational and psychological statistics effectively. Similar to the previously published __Excel 2013 for Educational and Psychological Statistics__, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical education and psychology problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in education and psychology courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, __Excel 2016 for Educational and Psychological Statistics: A Guide to Solving Practical Problems__ is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand educational and psychological problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

英语 [en] · PDF · 12.7MB · 2016 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/upload/zlib · Save