1. Introduction.
2. Populations and Samples.
3. Measures of Central Tendency.
4. Measures of Dispersion and Variability.
5. Probabilities.
6. The Normal Distribution.
7. One-Sample Hypotheses.
8. Two-Sample Hypotheses.
9. Paired-Sample Hypotheses.
10. Multisample Hypotheses: The Analysis of Variance.
11. Multiple Comparisons.
12. Two-Factor Analysis of Variance
13. Data Transformations.
14. Multiway Factorial Analysis of Variance.
15. Nested (Hierarchical) Analysis of Variance.
16. Multivariate Analysis of Variance.
17. Simple Linear Regression.
18. Comparing Simple Linear Regression Equations.
19. Simple Linear Correlation.
20. Multiple Regression and Correlation.
21. Polynomial Regression.
22. Testing for Goodness of Fit.
23. Contingency Tables.
24. More on Dichotomous Variables.
25. Testing for Randomness.
26. Circular Distributions: Descriptive Statistics.
27. Circular Distributions: Hypothesis Testing.
Appendix A: Analysis of Variance Hypothesis Testing.
Appendix B: Statistical Tables and Graphs.
Answers to Exercises.
Literature Cited.
Index.
This book combines useful explanations of statistical methods in the biological sciences with statistical graphs and tables frequently employed by researchers. It requires no previous knowledge of statistics and can be used as a reference tool for those looking for information on population sampling, frequency analysis, probabilities, and more. Copyright 1999 Cahners Business Information.
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