1. Introduction.
PART 1: DESCRIPTIVE STATISTICS.
2. Describing Data - Tables, Charts and Graphs.
3. Describing Data - Central Tendency.
4. Describing Data - Variability.
5. Exploratory Data Analysis.
PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS.
6. Probability Concepts.
7. Binomial Probability Distribution.
8. Poisson Probability Distribution.
9. Normal Probability Distribution.
PART 3: STATISTICAL INFERENCE.
10. Statistical Inference - An Overview.
11. Sampling Distributions.
12. Estimation.
13. Estimation and the t Distribution.
14. Hypothesis Testing: Single Population Mean.
15. Hypothesis Testing: Two Population Means.
16. Estimation and Hypothesis Testing: Proportions.
17. Analysis of Variance (ANOVA).
PART 4: RELATIONSHIPS BETWEEN VARIABLES.
18. Simple Linear Regression and Correlation.
19. Multiple Linear Regression and Correlation.
20. Tests of Goodness-of-Fit and Independence.
PART 5: TIME SERIES AND INDEX NUMBERS.
21. Time Series Analysis.
22. Index Numbers.
References for Further Reading.
APPENDIX A: STATISTICAL TABLES.
APPENDIX B: DESCRIPTION OF Minitabª AND ITS APPLICATION.
APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION.
Answers to Self-Study Exercises.
Glossary.
Index.
