includes index

1. Introduction
2. Some remarks about the nature of behavioral science data
3. The frequency
4. Percentile ranks and percentiles
5. Symbolic representation of data
6. Indexes of location or central tendency
7. Measures of variability
8. Linear transformations
9. Introduction to some probability concepts
10. The normal probability distribution
11. Introduction to sampling theory
12. Testing statistical hypotheses: the classical hypothesis testing procedure
13. Sampling theory as it applies to difference between means and proportions: large samples
14. Interval estimation
15. Some small sample theory and its application
16. Introduction to bayesian inference
17. Correlation
18. The prediction problem
19. Sampling error theory for simple linear regression
20. Appendix