Excel 2010 for educational and psychological statistics : a guide to solving practical problems 🔍
Thomas Quirk (auth.)
Springer-Verlag New York, 2012, 2011-12-15
英语 [en] · PDF · 8.0MB · 2012 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
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
Erscheinungsdatum: 15.12.2011
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-1-4614-2071-2.pdf
备用文件名
nexusstc/Excel 2010 for Educational and Psychological Statistics/2a8cfeb8191ea0c331089935883a0529.pdf
备用文件名
scihub/10.1007/978-1-4614-2071-2.pdf
备用文件名
zlib/Computers/Thomas Quirk (auth.)/Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems_2136139.pdf
备选作者
Thomas Joseph Quirk
备选作者
Quirk, Thomas J
备用出版商
Springer Science+Business Media, LLC
备用版本
United States, United States of America
备用版本
New York, London, New York State, 2012
备用版本
New York, NY, cop. 2012
元数据中的注释
sm28777587
元数据中的注释
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元数据中的注释
Includes index.
备用描述
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
备用描述
Front Matter....Pages i-xv
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-19
Random Number Generator....Pages 21-33
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 35-63
One-Group t -Test for the Mean....Pages 65-79
Two-Group t -Test of the Difference of the Means for Independent Groups....Pages 81-106
Correlation and Simple Linear Regression....Pages 107-147
Multiple Correlation and Multiple Regression....Pages 149-164
One-Way Analysis of Variance (ANOVA)....Pages 165-181
Back Matter....Pages 183-243
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-19
Random Number Generator....Pages 21-33
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 35-63
One-Group t -Test for the Mean....Pages 65-79
Two-Group t -Test of the Difference of the Means for Independent Groups....Pages 81-106
Correlation and Simple Linear Regression....Pages 107-147
Multiple Correlation and Multiple Regression....Pages 149-164
One-Way Analysis of Variance (ANOVA)....Pages 165-181
Back Matter....Pages 183-243
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worldcat_2022_09_titles_1_backup_2022_10_12/v6/1249/1249008222
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v6/1264/126403608
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v6/1292/1292328020
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v6/1348/1348774704
网站: /datasets/oclc
OCLC 'From Filename':
worldcat_2022_09_titles_1_backup_2022_10_12/v6/4146/4146550009r
网站: /datasets/oclc
Open Library:
OL16591621W
代码浏览器: 在代码浏览器中查看“ol:OL16591621W”
Open Library:
OL25275870M
代码浏览器: 在代码浏览器中查看“ol:OL25275870M”
Open Library:
OL27346633W
代码浏览器: 在代码浏览器中查看“ol:OL27346633W”
Open Library:
OL37148379M
代码浏览器: 在代码浏览器中查看“ol:OL37148379M”
Open Library Source Record:
bwb:9781461420705
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
bwb:9781461420712
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:424593102:1098
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
ia:excel2010foreduc0000quir
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_loc_2016/BooksAll.2016.part39.utf8:167380808:1065
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_loc_updates/v40.i15.records.utf8:16153427:1065
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
marc_nuls/NULS_PHC_180925.mrc:152429807:1233
The code for a source record that Open Library imported from.
网站: /datasets/ol
Open Library Source Record:
promise:bwb_daily_pallets_2022-06-30
The code for a source record that Open Library imported from.
网站: /datasets/ol
Server Path:
g4/libgenrs_nonfiction/libgenrs_nonfiction/982000/2a8cfeb8191ea0c331089935883a0529
Path on Anna’s Archive partner servers.
SHA-1:
i6edjwt6relf5tcehhpfnvipct6szztv
SHA-256:
642820551d5fe7f246def95e2a7fc0f4efbf1fde7bd53c282d71e5a5a0d81090
Torrent:
external/libgen_rs_non_fic/r_982000.torrent
Bulk torrent for long-term preservation.
网站: /torrents
Z-Library:
2136139
ID in Z-Library.
URL: https://z-lib.gd/
网站: /datasets/zlib
代码浏览器: 在代码浏览器中查看“zlib:2136139”
Zlib Category ID:
10
Category ID on the Z-Library website.
Zlib Category Name:
Computers
Name for the zlib_category_id (category ID on the Z-Library website).
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外部下载
- Sci-Hub: 10.1007/978-1-4614-2071-2
- Libgen.rs 非虚构文学板块
- Libgen.li (点击顶部的“GET”) 已知他们的广告包含恶意软件,因此请使用广告拦截器或不要点击广告
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- IPFS
- Z-Library
- Z-Library TOR (需要TOR浏览器)
- Z-Library
- Z-Library TOR (需要TOR浏览器)
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