Statistics for Management and Economics

Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011.

1. What is Statistics?
2. Graphical Descriptive Techniques I.
3. Graphical Descriptive Techniques II.
4. Numerical Descriptive Techniques.
5. Data Collection and Sampling.
6. Probability.
7. Random Variables and Discrete Probability Distributions.
8. Continuous Probability Distributions.
9. Sampling Distributions.
10. Introduction to Estimation.
11. Introduction to Hypothesis Testing.
12. Inference about a Population.
13. Inference about Comparing Two Populations.
14. Analysis of Variance.
15. Chi-Squared Tests.
16. Simple Linear Regression and Correlation.
17. Multiple Regression.
18. Model Building.
19. Nonparametric Statistics.
20. Time-Series Analysis and Forecasting.
21. Statistical Process Control.
22. Decision Analysis.
23. Conclusion.
Appendix A. Data File Sample Statistics.
Appendix B. Tables.
Appendix C. Answers to Selected Even-Numbered Exercises.
Index.