Excel 2019 for business statistics: a guide to solving practical problems
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham
Springer
[2020]
|
| Edition: | Second edition |
| Series: | Excel for Statistics
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xvii, 248 Seiten Illustrationen |
| ISBN: | 9783030392604 |
| ISSN: | 2570-4605 |
Staff View
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| 250 | |a Second edition | ||
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| adam_text | Contents 1 2 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean......................................................................................... 1.1 Mean...................................................................................................... 1.2 Standard Deviation................................................................................ 1.3 Standard Error of the Mean.................................................................. 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.................................................................................. 1.4.1 Using the Fill/Series/Columns Commands............................ 1.4.2 Changing the Width of a Column........................................... 1.4.3 Centering Information in a Range of Cells............................ 1.4.4 Naming a Range of Cells......................................................... 1.4.5 Finding the Sample Size Using the =COUNT Function..................................................................................... 1.4.6 Finding the Mean Score Using the =AVERAGE Function..................................................................................... 1.4.7 Finding the Standard Deviation Using the =STDEV Function..................................................................................... 1.4.8 Finding the Standard Error of the Mean................................. 1.5 Saving a Spreadsheet............................................................................ 1.6 Printing a
Spreadsheet........................................................................... 1.7 Formatting Numbers in Currency Format (Two Decimal Places)........................................................................... 1.8 Formatting Numbers in Number Format (Three Decimal Places)......................................................................... 1.9 End-of-Chapter Practice Problems....................................................... Reference......................................................................................................... Random Number Generator....................................................................... 2.1 Creating Frame Numbers for Generating Random Numbers............ 2.2 Creating Random Numbers in an Excel Worksheet.......................... 1 1 2 3 4 4 6 6 8 9 10 10 10 13 14 15 17 17 20 21 21 25 xiii
xiv Contents 2.3 2.4 2.5 3 4 Sorting Frame Numbers into a Random Sequence............................. Printing an Excel File So That All of the Information Fits onto One Page................................................................................. End-of-Chapter Practice Problems........................................................ Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing................................................................ 3.1 Confidence Interval About the Mean................................................... 3.1.1 How to Estimate the Population Mean................................... 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean.................. 3.1.3 Estimating the Confidence Interval for the Chevy Impala in Miles Per Gallon...................................................... 3.1.4 Where Did the Number “ 1.96” Come From?......................... 3.1.5 Finding the Value for t in the Confidence Interval Formula........................................................................ 3.1.6 Using Excel’s TINV Function to Find the Confidence Interval About the Mean........................................................... 3.1.7 Using Excel to Find the 95% Confidence Interval for a Car’s mpg Claim.............................................................. 3.2 Hypothesis Testing................................................................................. 3.2.1 Hypotheses Always Refer to the Population of People or Events That You Are
Studying.......................... 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis........................................................... 3.2.3 The Seven Steps for Hypothesis-Testing Using the Confidence Interval About the Mean.................... 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test.............................................................................. 3.3.1 Different Ways to Accept the Null Hypothesis..................... 3.3.2 Different Ways to Reject the Null Hypothesis....................... 3.4 End-of-Chapter Practice Problems....................................................... References........................................................................................................ One-Group t-Test for the Mean.................................................................. 4.1 The Seven STEPS for Hypothesis-Testing Using the One-Group t-Test............................................................................. 4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis................................................... 4.1.2 STEP 2: Select the Appropriate Statistical Test..................... 4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test.......................................................... 4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test.......................................................... 4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E........................................................................... 26 29
34 37 37 37 38 39 40 41 42 42 48 49 50 53 59 59 60 60 66 67 67 68 68 68 69 70
Contents XV 4.1.6 4.1.7 STEP 6: State the Result of Your Statistical Test................. STEP 7: State the Conclusion of Your Statistical Test in Plain English!.............................................................. 4.2 One-Group t-Test for the Mean........................................................... 4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses?.......................................................................................... 4.4 End-of-Chapter Practice Problems...................................................... References....................................................................................................... 5 6 Two-Group t-Test of the Difference of the Means for Independent Groups.............................................................................. 5.1 The Nine STEPS for Hypothesis-Testing Using the Two-Group t-Test........................................................................... 5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2.............................................................. 5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group.......................................................................... 5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test.................................... 5.1.4 STEP 4: Select the Appropriate Statistical Test.................... 5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group
t-Test.................................................................... 5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test.................................................................... 5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E.......................................................................... 5.1.8 STEP 8: State the Result of Your Statistical Test................. 5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English!.............................................................. 5.2 Formula #1 : Both Groups Have More Than 30 People in Them..................................................................................... 5.2.1 An Example of Formula #1 for the Two-Group t-Test......................................................................................... 5.3 Formula #2: One or Both Groups Have Less Than 30 People in Them..................................................................................... 5.4 End-of-Chapter Practice Problems...................................................... References....................................................................................................... Correlation and Simple Linear Regression............................................. 6.1 What Is a “Correlation?”....................................................................... 6.1.1 Understanding the Formula for Computing a Correlation............................................................................. 6.1.2 Understanding the Nine Steps for Computing a Correlation,
........................................................................... 71 71 72 77 77 82 83 84 84 84 86 86 86 86 87 88 88 92 93 99 105 107 109 109 114 114
Contents XVI 6.2 Using Excel to Compute a Correlation Between Two Variables.......................................................................................... 116 6.3 Creating a Chart and Drawing the Regression Line onto the Chart.......................................................................................... 121 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points.................................................. 123 6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page......................................................................................... 132 6.5 Finding the Regression Equation.......................................................... 133 6.5.1 Installing the Data Analysis ToolPak into Excel................... 134 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression.............................................................................. 136 6.5.3 Finding the Equation for the Regression Line....................... 140 6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value................................................................... 141 6.6 Adding the Regression Equation to the Chart..................................... 142 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table.................................................... 145 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet....................................................................... 145 6.8.1 Printing Only the Table and the Chart on a Separate
Page.................................................................... 146 6.8.2 Printing Only the Chart on a Separate Page........................... 146 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page..................... 147 6.9 End-of-Chapter Practice Problems....................................................... 147 References........................................................................................................ 152 7 8 Multiple Correlation and Multiple Regression........................................ 7.1 Multiple Regression Equation.............................................................. 7.2 Finding the Multiple Correlation and the Multiple Regression Equation.............................................................................. 7.3 Using the Regression Equation to Predict Annual Sales.......................................................................................... 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression.......................................................................... 7.5 End-of-Chapter Practice Problems....................................................... References....................................................................................................... 153 153 One-Way Analysis of Variance (ANOVA)............................................... 8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA)......................................................................... 8.2 How to Interpret the ANOVA Table
Correctly.................................. 8.3 Using the Decision Rule for the ANOVA F-Test.............................. 169 156 159 160 163 168 171 173 174
Contents Testing the Difference Between Two Groups Using the ANOVA t-Test............................................................................... 8.4.1 Comparing Dierberg’s vs. Shop ‘n Save in Their Prices Using the ANOVA t-Test.................................. 8.5 End-of-Chapter Practice Problems...................................................... References....................................................................................................... xvii 8.4 175 175 180 187 Appendices........................................................................................................... Appendix A: Answers to End-of-Chapter Practice Problems.................... Appendix B: Practice Test............................................................................ Appendix C: Answers to Practice Test........................................................ Appendix D: Statistical Formulas................................................................. Appendix E: t-TABLE................................................................................... 189 189 222 234 244 246 Index..................................................................................................................... 247
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| adam_txt |
Contents 1 2 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean. 1.1 Mean. 1.2 Standard Deviation. 1.3 Standard Error of the Mean. 1.4 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean. 1.4.1 Using the Fill/Series/Columns Commands. 1.4.2 Changing the Width of a Column. 1.4.3 Centering Information in a Range of Cells. 1.4.4 Naming a Range of Cells. 1.4.5 Finding the Sample Size Using the =COUNT Function. 1.4.6 Finding the Mean Score Using the =AVERAGE Function. 1.4.7 Finding the Standard Deviation Using the =STDEV Function. 1.4.8 Finding the Standard Error of the Mean. 1.5 Saving a Spreadsheet. 1.6 Printing a
Spreadsheet. 1.7 Formatting Numbers in Currency Format (Two Decimal Places). 1.8 Formatting Numbers in Number Format (Three Decimal Places). 1.9 End-of-Chapter Practice Problems. Reference. Random Number Generator. 2.1 Creating Frame Numbers for Generating Random Numbers. 2.2 Creating Random Numbers in an Excel Worksheet. 1 1 2 3 4 4 6 6 8 9 10 10 10 13 14 15 17 17 20 21 21 25 xiii
xiv Contents 2.3 2.4 2.5 3 4 Sorting Frame Numbers into a Random Sequence. Printing an Excel File So That All of the Information Fits onto One Page. End-of-Chapter Practice Problems. Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing. 3.1 Confidence Interval About the Mean. 3.1.1 How to Estimate the Population Mean. 3.1.2 Estimating the Lower Limit and the Upper Limit of the 95% Confidence Interval About the Mean. 3.1.3 Estimating the Confidence Interval for the Chevy Impala in Miles Per Gallon. 3.1.4 Where Did the Number “ 1.96” Come From?. 3.1.5 Finding the Value for t in the Confidence Interval Formula. 3.1.6 Using Excel’s TINV Function to Find the Confidence Interval About the Mean. 3.1.7 Using Excel to Find the 95% Confidence Interval for a Car’s mpg Claim. 3.2 Hypothesis Testing. 3.2.1 Hypotheses Always Refer to the Population of People or Events That You Are
Studying. 3.2.2 The Null Hypothesis and the Research (Alternative) Hypothesis. 3.2.3 The Seven Steps for Hypothesis-Testing Using the Confidence Interval About the Mean. 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test. 3.3.1 Different Ways to Accept the Null Hypothesis. 3.3.2 Different Ways to Reject the Null Hypothesis. 3.4 End-of-Chapter Practice Problems. References. One-Group t-Test for the Mean. 4.1 The Seven STEPS for Hypothesis-Testing Using the One-Group t-Test. 4.1.1 STEP 1: State the Null Hypothesis and the Research Hypothesis. 4.1.2 STEP 2: Select the Appropriate Statistical Test. 4.1.3 STEP 3: Decide on a Decision Rule for the One-Group t-Test. 4.1.4 STEP 4: Calculate the Formula for the One-Group t-Test. 4.1.5 STEP 5: Find the Critical Value of t in the t-Table in Appendix E. 26 29
34 37 37 37 38 39 40 41 42 42 48 49 50 53 59 59 60 60 66 67 67 68 68 68 69 70
Contents XV 4.1.6 4.1.7 STEP 6: State the Result of Your Statistical Test. STEP 7: State the Conclusion of Your Statistical Test in Plain English!. 4.2 One-Group t-Test for the Mean. 4.3 Can You Use Either the 95% Confidence Interval About the Mean OR the One-Group t-Test When Testing Hypotheses?. 4.4 End-of-Chapter Practice Problems. References. 5 6 Two-Group t-Test of the Difference of the Means for Independent Groups. 5.1 The Nine STEPS for Hypothesis-Testing Using the Two-Group t-Test. 5.1.1 STEP 1: Name One Group, Group 1, and the Other Group, Group 2. 5.1.2 STEP 2: Create a Table That Summarizes the Sample Size, Mean Score, and Standard Deviation of Each Group. 5.1.3 STEP 3: State the Null Hypothesis and the Research Hypothesis for the Two-Group t-Test. 5.1.4 STEP 4: Select the Appropriate Statistical Test. 5.1.5 STEP 5: Decide on a Decision Rule for the Two-Group
t-Test. 5.1.6 STEP 6: Calculate the Formula for the Two-Group t-Test. 5.1.7 STEP 7: Find the Critical Value of t in the t-Table in Appendix E. 5.1.8 STEP 8: State the Result of Your Statistical Test. 5.1.9 STEP 9: State the Conclusion of Your Statistical Test in Plain English!. 5.2 Formula #1 : Both Groups Have More Than 30 People in Them. 5.2.1 An Example of Formula #1 for the Two-Group t-Test. 5.3 Formula #2: One or Both Groups Have Less Than 30 People in Them. 5.4 End-of-Chapter Practice Problems. References. Correlation and Simple Linear Regression. 6.1 What Is a “Correlation?”. 6.1.1 Understanding the Formula for Computing a Correlation. 6.1.2 Understanding the Nine Steps for Computing a Correlation,
. 71 71 72 77 77 82 83 84 84 84 86 86 86 86 87 88 88 92 93 99 105 107 109 109 114 114
Contents XVI 6.2 Using Excel to Compute a Correlation Between Two Variables. 116 6.3 Creating a Chart and Drawing the Regression Line onto the Chart. 121 6.3.1 Using Excel to Create a Chart and the Regression Line Through the Data Points. 123 6.4 Printing a Spreadsheet So That the Table and Chart Fit onto One Page. 132 6.5 Finding the Regression Equation. 133 6.5.1 Installing the Data Analysis ToolPak into Excel. 134 6.5.2 Using Excel to Find the SUMMARY OUTPUT of Regression. 136 6.5.3 Finding the Equation for the Regression Line. 140 6.5.4 Using the Regression Line to Predict the y-Value for a Given x-Value. 141 6.6 Adding the Regression Equation to the Chart. 142 6.7 How to Recognize Negative Correlations in the SUMMARY OUTPUT Table. 145 6.8 Printing Only Part of a Spreadsheet Instead of the Entire Spreadsheet. 145 6.8.1 Printing Only the Table and the Chart on a Separate
Page. 146 6.8.2 Printing Only the Chart on a Separate Page. 146 6.8.3 Printing Only the SUMMARY OUTPUT of the Regression Analysis on a Separate Page. 147 6.9 End-of-Chapter Practice Problems. 147 References. 152 7 8 Multiple Correlation and Multiple Regression. 7.1 Multiple Regression Equation. 7.2 Finding the Multiple Correlation and the Multiple Regression Equation. 7.3 Using the Regression Equation to Predict Annual Sales. 7.4 Using Excel to Create a Correlation Matrix in Multiple Regression. 7.5 End-of-Chapter Practice Problems. References. 153 153 One-Way Analysis of Variance (ANOVA). 8.1 Using Excel to Perform a One-Way Analysis of Variance (ANOVA). 8.2 How to Interpret the ANOVA Table
Correctly. 8.3 Using the Decision Rule for the ANOVA F-Test. 169 156 159 160 163 168 171 173 174
Contents Testing the Difference Between Two Groups Using the ANOVA t-Test. 8.4.1 Comparing Dierberg’s vs. Shop ‘n Save in Their Prices Using the ANOVA t-Test. 8.5 End-of-Chapter Practice Problems. References. xvii 8.4 175 175 180 187 Appendices. Appendix A: Answers to End-of-Chapter Practice Problems. Appendix B: Practice Test. Appendix C: Answers to Practice Test. Appendix D: Statistical Formulas. Appendix E: t-TABLE. 189 189 222 234 244 246 Index. 247 |
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| spelling | Quirk, Thomas J. 1939- Verfasser (DE-588)1014396611 aut Excel 2019 for business statistics a guide to solving practical problems Thomas J. Quirk Second edition Cham Springer [2020] xvii, 248 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Excel for Statistics 2570-4605 Statistics for Business, Management, Economics, Finance, Insurance Business Mathematics Statistics and Computing/Statistics Programs Statistics Business mathematics Erscheint auch als Online-Ausgabe 978-3-030-39261-1 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032186217&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Quirk, Thomas J. 1939- Excel 2019 for business statistics a guide to solving practical problems Statistics for Business, Management, Economics, Finance, Insurance Business Mathematics Statistics and Computing/Statistics Programs Statistics Business mathematics |
| title | Excel 2019 for business statistics a guide to solving practical problems |
| title_auth | Excel 2019 for business statistics a guide to solving practical problems |
| title_exact_search | Excel 2019 for business statistics a guide to solving practical problems |
| title_exact_search_txtP | Excel 2019 for business statistics a guide to solving practical problems |
| title_full | Excel 2019 for business statistics a guide to solving practical problems Thomas J. Quirk |
| title_fullStr | Excel 2019 for business statistics a guide to solving practical problems Thomas J. Quirk |
| title_full_unstemmed | Excel 2019 for business statistics a guide to solving practical problems Thomas J. Quirk |
| title_short | Excel 2019 for business statistics |
| title_sort | excel 2019 for business statistics a guide to solving practical problems |
| title_sub | a guide to solving practical problems |
| topic | Statistics for Business, Management, Economics, Finance, Insurance Business Mathematics Statistics and Computing/Statistics Programs Statistics Business mathematics |
| topic_facet | Statistics for Business, Management, Economics, Finance, Insurance Business Mathematics Statistics and Computing/Statistics Programs Statistics Business mathematics |
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