Chapter 13 covers ONE-WAY ANALYSIS OF VARIANCE and includes the following specific topics, among others: Between Group Variance, Withn Group Variance , The R-Ratio, ANOVA Summary Table, Effect Size, Post-Hoc Multiple Comparison Tests , The Bonferroni Adjustment, and Power Analyses.

Chapter 16 covers AN INTRODUCTION TO MULTIPLE REGRESSION and includes the following specific topics, among others: Confidence Intervals, Statistical Significance of b-Weight, Fit of the Overall Regression Equation, R and R-squared,Adjusted R-squared, Semipartial Correlation, Partial Slope, Confounding, and Statistical Control.

Chapter 8 covers THEORETICAL PROBABILITY MODELS and includes the following specific topics, among others:The binomial probability, the normal probability.

Chapter 18 covers NONPARAMETRIC METHODS and includes the following specific topics, among others: Parametric versus Nonparametric Methods, Chi-Square Distribution, Chi-Square Goodness-of-Fit Test, Chi-Square Test of Independence, Fisher’s Exact Test, Wilcoxon Sign Test, Mann–Whitney U-Test, Wilcoxon’s Rank Sum Test, and Kruskal–Wallis Analysis of Variance.

Chapter 14 covers TWO-WAY ANALYSIS OF VARIANCE and includes the following specific topics, among others: Statistical Interaction, Balanced versus Unbalanced Factorial Designs, F-Ratio, Effect Size, Fixed Factors, Random Factors, Post-Hoc Multiple Comparison Tests, Simple Effects, and Power Analyses.

Chapter 5 covers the relationship between two variables and includes the following specific topics, among others:Scatterplots, Pearson Product-Moment Correlation Coefficient, The Spearman Rank Correlation Coefficient, The Point Biserial Correlation Coefficient,The Phi Coefficient and Visual Displays of Bivariate Relationships.

Chapter 6 covers simple linear regression and includes the following specific topics, among others: the “best-fitting” line, accuracy of prediction, standardized regression, R as a measure of overall fit, and the importance of the scatterplot.

Chapter 3 covers measures of location, spread and skewness and includes the following specific topics, among others: mode, median, mean, weighted mean, range, interquartile range, variance, standard deviation, and skewness.

Chapter 18 covers non-parametric methods and includes the following specific topics, among others: parametric versus non-parametric methods, chi-square distribution, chi-square goodness of fit test, chi-square test of independence, Fisher’s exact test, Wilcoxon sign test, Mann–Whitney U-test, Wilcoxon’s rank sum test, and Kruskal–Wallis analysis of variance.

Chapter 4 covers the re-expression or transformation of variables and includes the following specific topics, among others: linear and nonlinear transformations, standard scores, z-scores, recoding variables, combining variables, data management fundamentals, and the importance of the .do-file.

Chapter 10 covers inferences involving the mean of a single population when σ is known and includes the following specific topics, among others: estimating the population mean, interval estimation, confidence intervals, hypothesis testing and interval estimation, effect size, type II error, and power.

Chapter 19 covers customizing and exporting tables to Microsoft Word and Excel using the new table command and includes how to customize one-way tables, two-way tables, tables of univariate summary statistics, correlation tabes, and regression tables, and how to export them to Microsoft Word and Excel.