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List of contents
PREFACE
ACKNOWLEDGMENTS
PART I: INTRODUCTION AND STATISTICAL THEORY
1. Statistical Theory
2. Generating Random Numbers
3. Frequency Distributions
4. Stem and Leaf Plots
5. Population Distributions
6. Measures of Central Tendency
7. Measures of Dispersion
8. Sample Size Effects
9. Tchebysheff Inequality Theorem
10. Normal Bell-Shaped Curve
PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS
11. Probability
12. Joint Probability
13. Addition Law of Probability
14. Multiplication Law of Probability
15. Conditional Probability
16. Combinations and Permutations
PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS
17. Binomial Distribution
18. Monte Carlo Simulation
19. Normal Distribution
20. t Distribution
21. Chi-square distribution
22. F Distribution
PART IV: SAMPLING AND INFERENCE
23. Sampling Distributions
24. Central Limit Theorem
25. Confidence Intervals
26. Hypothesis Testing
27. Type I Error
28. Type II Error
PART V: HYPOTHESIS TESTING IN RESEARCH
29. z test statistic for proportions
30. Chi-square test statistic
31. t Test for Mean Differences
32. Analysis of Variance
33. Correlation
34. Linear Regression
PART VI: REPLICABILITY OF FINDINGS
35. Cross Validation
36. Jackknife
37. Bootstrap
38. Meta-Analysis
39. Significance Testing vs. Practical Importance
GLOSSARY OF TERMS
ABOUT THE AUTHORS
APPENDIX
ANSWERS TO CHAPTER EXERCISES
AUTHOR INDEX
SUBJECT INDEX
About the author
Schumacker, Randall E.
Summary
Written as a supplemental text for an introductory or intermediate statistics course, this work includes chapters that provide a conceptual understanding of basic statistics and includes exercises that use S-PLUS simulation programmes.
