Table of Contents

1. What Is Statistics?
PART 1: DESCRIPTIVE TECHNIQUES.
2. Graphical and Tabular Descriptive Techniques.
3. Art and Science of Graphical Presentations.
4. Numerical Descriptive Techniques.
5. Data Collection and Sampling.
PART 2: PROBABILITY.
6. Probability.
7. Random Variables and Discrete Probability Distributions.
8. Continuous Probability Distributions.
9. Sampling Distributions.
PART 3: INTRODUCTION TO STATISTICAL INFERENCE.
10. Introduction to Estimation.
11. Introduction to Hypothesis Testing.
PART 4: STATISTICAL INFERENCE: ONE AND TWO POPULATIONS.
12. Inference about One Population.
13. Inference about Two Populations.
PART 5: STATISTICAL INFERENCE: ANALYSIS OF VARIANCE AND CHI-SQUARED TESTS.
14. Analysis of Variance.
15. Chi-Squared Tests.
PART 6: REGRESSION.
16. Simple Linear Regression and Correlation.
17. Multiple Regression.
18. Model Building.
PART 7: ADDITIONAL TOPICS.
19. Nonparametric Statistical Techniques.
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.

About the Author

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