Excel 2016 for Marketing Statistics: A Guide to Solving Practical Problems

✍ Scribed by Thomas J. Quirk, Eric Rhiney (auth.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 257
• Series: Excel for Statistics
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xvii
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-20
Random Number Generator....Pages 21-35
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 37-64
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 107-149
Multiple Correlation and Multiple Regression....Pages 151-166
One-Way Analysis of Variance (ANOVA)....Pages 167-184
Back Matter....Pages 185-242

✦ Subjects

Statistical Theory and Methods;Marketing;Computer Appl. in Social and Behavioral Sciences