Statistics
by William Hays
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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. show more 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. show lessTags
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Statistics
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