Statistics - Tapa dura

Preface. Introduction. Elementary Probability Theory. Frequency and Probability Distributions. A Discrete Random Variable: The Binomial. Central Tendency and Variability. Sampling Distributions and Point Estimation. Normal Population and Sampling Distributions. Hypothesis Testing. Inferences About Population Means. The Chi-Square and F Distributions. The General Linear Model and the Analysis of Variance. Comparisons Among Means. Factorial Designs and Higher-Order Analysis of Variance. Analysis of Variance Models II and III: Random Effects and Mixed Models. Problems in Regression and Correlation. Partial and Multiple Regression. Further Topics in Regression. The Analysis of Covariance. Analyzing Qualitative Data: Chi-Square Tests. Terms You Should Know. Practice Exercises. Exercises. Appendix A: Rules of Summation. Appendix B: The Algebra of Expectations. Appendix C: Joint Random Variables and Linear Combinations. Appendix D: Some Principles and Applications of Matrix Algebra. Appendix E: Sets and Functions. Appendix F: Tables. Appendix G: Solutions to Selected Exercises References and Suggestions for Further Reading. Glossary of Symbols. Index.

Kim Hays teaches in the Department of Social Psychology at the University of Z?rich. As executive director of the non-profit Action for Children's Television from 1979 to 1983, she edited "TV, Science, and Kids: Teaching Our Children to Question".