A Casebook
Buch, Englisch, 244 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1330 g
ISBN: 978-0-387-98354-7
Verlag: Springer
Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation of being a boring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Business Analysis Using Regression) was to change that impression by showing how statistics yields insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer to that question. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material in this casebook is organized into 11 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part of the appeal of statistics is this richness, this blending of substantive theories and mathematics. For newcomers, however, this blend is too rich, and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way.
Zielgruppe
Lower undergraduate
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
Weitere Infos & Material
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.
