Basic Business Statistics

• Class 1. Overview and Foundations.- Class 2. Statistical Summaries of Data.- Gmat Scores.- Returns on General Motors Stock.- Skewness in Executive Compensation.- Class 3. Sources of Variation.- Variation by Industry in Executive Compensation.- Patterns in Early International Airline Passenger Data.- Monitoring an Automotive Manufacturing Process.- Class 4. Standard Error.- Control Charts for Motor Shafts.- Control Chart Analysis of Car Trunk Seam Variation.- Analysis of Production of Computer Chips.- Class 5. Confidence Intervals.- Interval Estimates of the Process Mean (Continued).- Purchases of Consumer Goods.- Class 6. Sampling.- Internet use Surveys.- Hotel Satisfaction Survey.- Class 7. Making Decisions.- Selecting a Painting Process.- Effects of Reengineering a Food Processing Line.- Analysis of Time for Service Calls.- Class 8. Designing Tests for Better Comparisons.- Taste-Test Comparison of Teas.- Pharmaceutical Sales Force Comparison.- Class 9. Confounding Effects in Tests: A Case Study.- Wage Discrimination.- Class 10. Covariance, Correlation, and Portfolios.- Stocks, Portfolios, and the Efficient Frontier.- Class 11. A Preview of Regression.- Performance of Mutual Funds.- Assignments.- Appendix: Use with Minitab.

"The manuscripts are divided into "classes" which tackle various statistical concepts. Material becomes increasingly complex as the data in later sections exhibit multiple deviations from ideal conditions. The casebooks use a combination of explanatory text and software output to guide the student. Almost no mathematics appears in these volumes; the authors make traditional texts available to their students who are curious about the technical details...I anticipate students will wholeheartedly endorse the FSW casebooks. The material is easy to digest as, for instance, the authors cleverly interweave probability, the standard error of the mean, and control charts. The casebooks effectively relay the message that statistics is relevant and doable. Ideally, that is the message that should be sent in all introductory business statistics courses." Marlene Smith, University of Colorado-Denver