Excel 2016 for marketing statistics [electronic resource] : a guide to solving practical problems / Thomas J. Quirk, Eric Rhiney.
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 your strongest su...
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| Format: | Electronic eBook |
| Language: | English |
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| Series: | Excel for statistics.
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| 245 | 1 | 0 | |a Excel 2016 for marketing statistics |h [electronic resource] : |b a guide to solving practical problems / |c Thomas J. Quirk, Eric Rhiney. |
| 260 | |a Cham : |b Springer, |c ©2016. | ||
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| 490 | 1 | |a Excel for statistics. | |
| 505 | 0 | |a Preface; Acknowledgments; Contents; Chapter 1: 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. | |
| 505 | 8 | |a 1.4.7 Finding the Standard Deviation Using the =STDEV Function1.4.8 Finding the Standard Error of the Mean; 1.4.8.1 Formatting Numbers in Number Format (Two decimal places); 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; Chapter 2: Random Number Generator; 2.1 Creating Frame Numbers for Generating Random Numbers; 2.2 Creating Random Numbers in an Excel Worksheet; 2.3 Sorting Frame Numbers into a Random Sequence. | |
| 505 | 8 | |a 2.4 Printing an Excel File So That All of the Information Fits onto One Page2.5 End-of-Chapter Practice Problems; Reference; Chapter 3: 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. | |
| 505 | 8 | |a 3.1.6 Using Excelś TINV Function to Find the Confidence Interval About the Mean3.1.7 Using Excel to Find the 95% Confidence Interval for a Carś 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; 3.2.2.1 Determining the Null Hypothesis and the Research Hypothesis When Rating Scales Are Used; 3.2.3 The 7 Steps for Hypothesis-Testing Using the Confidence Interval About the Mean; 3.2.3.1 STEP 1: State the Null Hypothesis and the Research Hypothesis. | |
| 505 | 8 | |a 3.2.3.2 STEP 2: Select the Appropriate Statistical Test3.2.3.3 STEP 3: Calculate the Formula for the Statistical Test; 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 ... ; 3.2.3.5 STEP 5: Decide on a Decision Rule; 3.2.3.6 STEP 6: State the Result of Your Statistical Test; 3.2.3.7 STEP 7: State the Conclusion of Your Statistical Test in Plain English!; 3.3 Alternative Ways to Summarize the Result of a Hypothesis Test; 3.3.1 Different Ways to Accept the Null Hypothesis. | |
| 500 | |a 3.3.2 Different Ways to Reject the Null Hypothesis. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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 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. Includes 167 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is Professor of Marketing in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA). 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 MBA from The University of Missouri-St. Louis. Prof. Eric Rhiney is currently an Assistant Professor of Marketing in The Walker School of Business at Webster University in St. Louis, Missouri (US) where he teaches Research Design, Marketing Research and Marketing Strategies. He holds a B.S.B.A. with an Emphasis in Marketing from University of Central Missouri, an M.B.A. with an Emphasis in Marketing from Webster University, and a Ph. D. in Marketing and International Business from St. Louis University. He did marketing research professionally for over ten years engaging in research for companies such as Pizza Hut, Monsanto, Chrysler and Hardee . He is involved in a number of quantitative research studies focused on in-group out-group orientation on consumer attitudes, digital marketing behavior, and cross-cultural marketing and has presented is work at a number of conferences including The American Marketing Association, the International Business Association, and the Marketing Management Association and the University of Missouri-St. Louis (UMSL) Digital Marketing Conference. | ||
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