Introduction to data analysis -- Univariate statistics, tabulating and displaying data -- Univariate statistics, central tendency and variability -- Bivariate description -- Statistical inference -- Testing the difference between two means, the two-sample t-test -- Analysis of variance -- Chi-square and other nonparametric tests -- Correlation and simple regression -- Multiple regression -- Analysis of covariance, multivariate ANOVA, and canonical analysis -- Factor analysis -- Discriminant analysis and logistic regression -- Causal modeling, path analysis and linear structural relations analysis
Notes
Appendices (p. 461-488): A. Answers for selected exercises -- B. Theoretical probability distribution tables -- C. Tables for power analyses
Bibliography
Includes bibliographical references (pages 439-444) and indexes
