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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nexusstc/Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems/e46da1dbe1554ead63973ee8415b5fbe.pdf

scihub/10.1007/978-3-319-23555-4.pdf

zlib/Mathematics/Thomas J. Quirk (auth.)/Excel 2013 for Engineering Statistics: A Guide to Solving Practical Problems_2618160.pdf

Adobe InDesign CS6 (Windows)

Thomas Joseph Quirk

Quirk, Thomas J.

Springer International Publishing AG

Springer Nature Switzerland AG

Springer London, Limited

Springer Nature (Textbooks & Major Reference Works), Cham, 2015

1st ed. 2015, 2015-11-05

Switzerland, Switzerland

lg1408019

producers:
Adobe PDF Library 10.0.1

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Preface 8
Acknowledgments 10
Contents 12
Chapter 1: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean 17
1.1 Mean 17
1.2 Standard Deviation 18
1.3 Standard Error of the Mean 19
1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean 20
1.4.1 Using the Fill/Series/Columns Commands 20
1.4.2 Changing the Width of a Column 21
1.4.3 Centering Information in a Range of Cells 22
1.4.4 Naming a Range of Cells 24
1.4.5 Finding the Sample Size Using the =COUNT Function 25
1.4.6 Finding the Mean Score Using the =AVERAGE MeanFunction 25
1.4.7 Finding the Standard Deviation Using the =STDEV Function 26
1.4.8 Finding the Standard Error of the Mean 26
1.4.8.1 Formatting Numbers in Number Format (Two Decimal Places) 27
1.5 Saving a Spreadsheet 28
1.6 Printing a Spreadsheet 29
1.7 Formatting Numbers in Currency Format (Two Decimal Places) 31
1.8 Formatting Numbers in Number Format (Three Decimal Places) 33
1.9 End-of-Chapter Practice Problems 33
References 36
Chapter 2: Random Number Generator 37
2.1 Creating Frame Numbers for Generating Random Numbers 37
2.2 Creating Random Numbers in an Excel Worksheet 40
2.3 Sorting Frame Numbers into a Random Sequence 42
2.4 Printing an Excel File So That All of the Information Fits onto One Page 46
2.5 End-of-Chapter Practice Problems 49
Chapter 3: Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing 51
3.1 Confidence Interval About the Mean 51
3.1.1 How to Estimate the Population Mean 51
3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean 52
3.1.3 Estimating the Confidence Interval for the Chevy Impala in Miles Per Gallon 53
3.1.4 Where Did the Number ``1.96 ́ ́ Come From? 54
3.1.5 Finding the Value for t in the Confidence Interval Formula 55
3.1.6 Using Excel ́s TINV Function to Find the Confidence Interval About the Mean 56
3.1.7 Using Excel to find the 95% Confidence Interval for a Car ́s mpg Claim 57
3.2 Hypothesis Testing 63
3.2.1 Hypotheses Always Refer to the Population of Physical Properties that You Are Studying 63
3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis 64
3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales Are Used 65
3.2.3 The 7 Steps for Hypothesis-Testing Using the Confidence Interval About the Mean 67
3.2.3.1 STEP 1: State the Null Hypothesis and the Research Hypothesis 67
3.2.3.2 STEP 2: Select the Appropriate Statistical Test 68
3.2.3.3 STEP 3: Calculate the Formula for the Statistical Test 68
3.2.3.4 STEP 4: Draw a Picture of the Confidence Interval About the Mean, Including the Mean, the Lower Limit of the Interval,... 68
3.2.3.5 STEP 5: Decide on a Decision Rule 68
3.2.3.6 STEP 6: State the Result of Your Statistical Test 69
3.2.3.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! 69
3.3 Alternative Ways to Summarize the Result of a Hypothesis Test 73
3.3.1 Different Ways to Accept the Null Hypothesis 74
3.3.2 Different Ways to Reject the Null Hypothesis 74
3.4 End-of-Chapter Practice Problems 75
References 79
Chapter 4: One-Group t-Test for the Mean 80
4.1 The 7 STEPS for Hypothesis-Testing Using the One-Group t-Test 80
4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis 81
4.1.2 STEP 2: Select the Appropriate Statistical Test 81
4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test 81
4.1.3.1 Finding the Absolute Value of a Number 81
4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test 82
4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E 83
4.1.6 STEP 6: State the Result of Your Statistical Test 84
4.1.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English! 84
4.2 One-Group t-Test for the Mean 85
4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses? 89
4.4 End-of-Chapter Practice Problems 90
References 93
Chapter 5: Two-Group t-Test of the Difference of the Means for Independent Groups 94
5.1 The 9 STEPS for Hypothesis-Testing Using the Two-Group t-Test 95
5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2 95
5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group 96
5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test 97
5.1.4 STEP 4: Select the Appropriate Statistical Test 97
5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group t-Test 97
5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test 98
5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E 98
5.1.7.1 Finding the Degrees of Freedom (df) for the Two-Group t-Test 98
5.1.8 STEP 8: State the Result of Your Statistical Test 99
5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English! 99
5.1.9.1 Writing the Conclusion of the Two-Group t-Test When You Accept the Null Hypothesis 100
5.1.9.2 Writing the Conclusion of the Two-Group t-Test When You Reject the Null Hypothesis and Accept the Research Hypothesis 101
5.2 Formula #1: Both Groups Have a Sample Size Greater than 30 104
5.2.1 An Example of Formula #1 for the Two-Group t-Test 105
5.3 Formula #2: One or Both Groups Have a Sample Size Less than 30 112
5.4 End-of-Chapter Practice Problems 118
References 120
Chapter 6: Correlation and Simple Linear Regression 121
6.1 What Is a ``Correlation? ́ ́ 121
6.1.1 Understanding the Formula for Computing a Correlation 126
6.1.2 Understanding the Nine Steps for Computing a Correlation, r 126
6.2 Using Excel to Compute a Correlation Between Two Variables 128
6.3 Creating a Chart and Drawing the Regression Line onto the Chart 133
6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points 134
6.3.1.1 Drawing the Regression Line Through the Data Points in the Chart 139
6.3.1.2 Moving the Chart Below the Table in the Spreadsheet 141
6.3.1.3 Making the Chart ``Longer ́ ́ so That It Is ``Taller ́ ́ 142
6.3.1.4 Making the Chart ``Wider ́ ́ 142
6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page 143
6.5 Finding the Regression Equation 145
6.5.1 Installing the Data Analysis ToolPak into Excel 146
6.5.1.1 Installing the Data Analysis ToolPak into Excel 2013 146
6.5.1.2 Installing the Data Analysis ToolPak into Excel 2010 147
6.5.1.3 Installing the Data Analysis ToolPak into Excel 2007 148
6.5.1.4 Installing the Data Analysis ToolPak into Excel 2003 148
6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression 149
6.5.2.1 Finding the y-Intercept, a, of the Regression Line 152
6.5.2.2 Finding the Slope, b, of the Regression Line 152
6.5.3 Finding the Equation for the Regression Line 152
6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value 153
6.6 Adding the Regression Equation to the Chart 154
6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table 157
6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet 157
6.8.1 Printing Only the Table and the Chart on a Separate Page 158
6.8.2 Printing Only the Chart on a Separate Page 158
6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page 159
6.9 End-of-Chapter Practice Problems 159
References 164
Chapter 7: Multiple Correlation and Multiple Regression 166
7.1 Multiple Regression Equation 166
7.2 Finding the Multiple Correlation and the Multiple Regression Equation 169
7.3 Using the Regression Equation to Predict FROSH GPA 173
7.4 Using Excel to Create a Correlation Matrix in Multiple Regression 174
7.5 End-of-Chapter Practice Problems 177
References 182
Chapter 8: One-Way Analysis of Variance (ANOVA) 183
8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA) 185
8.2 How to Interpret the ANOVA Table Correctly 188
8.3 Using the Decision Rule for the ANOVA F-Test 188
8.4 Testing the Difference Between Two Groups Using the ANOVA t-Test 189
8.4.1 Comparing Brand A vs. Brand C in Miles Driven Using the ANOVA t-Test 190
8.4.1.1 Finding the Degrees of Freedom for the ANOVA t-Test 191
8.4.1.2 Stating the Decision Rule for the ANOVA t-Test 191
8.4.1.3 Performing an ANOVA t-Test Using Excel Commands 192
8.5 End-of-Chapter Practice Problems 194
References 199
Appendices 200
Appendix B: Practice Test 234
Appendix C: Answers to Practice Test 244
Appendix D: Statistical Formulas 255
Appendix E: t-Table 257
Index 258

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively.℗l It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems.℗l 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.℗l Its powerful computational ability and graphical functions make learning statistics much easier than in years past.℗l 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.℗l Practice problems are provided at the end of each chapter with their solutions in an Appendix.℗l Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned

Front Matter....Pages i-xv
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-20
Random Number Generator....Pages 21-34
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 35-63
One-Group t-Test for the Mean....Pages 65-78
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 79-105
Correlation and Simple Linear Regression....Pages 107-151
Multiple Correlation and Multiple Regression....Pages 153-169
One-Way Analysis of Variance (ANOVA)....Pages 171-187
Back Matter....Pages 189-248

2015-11-25