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, μ, Interval Estimation, Confidence Intervals, Hypothesis Testing and Interval Estimation, Effect Size,Type II Error, and Power.

Chapter 6 covers SIMPLE LINEAR REGRESSION and includes the following specific topics, among others: the “best-fitting” line, accuracy of prediction, standardized regressin, R as a measure of overal fit and the importance of the scatterplot..

Chapter 4 covers the re-expression/trannsformatin 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 12 covers AN INTRODUCTION TO RESEARCH DESIGN and includes the following specific topics, among others: Descriptive, Relational, and Causal Research Studies , Blocking, Quasi-Experimental Designs, Threats to Internal Validity, and Threats to External Validity.

Chapter 2 covers univariate distributions and includes the following specific topics, among others: Frequency and Percent Distribution Tables, Bar Charts, Pie Charts, Stem-and-Leaf Displays, Histograms, Line Graphs, Shape of a Distribution, Cumulative Percent Distributions, Percentiles, Percentile Ranks, and Boxplots.

Chapter 7 covers PROBABILITY FUNDAMENTALS and includes the following specific topics, among others: the discrete case, additive rules of probability, complement rule of probability, multiplicative rule of probability,conditional probability, Bayes’ theorem, the Law of Large Numbers.

Chapter 17 covers TWO-WAY INTERACTIONS IN MULTIPLE REGRESSION and includes the following specific topics, among others: Two-Way Interaction, First-Order Effects, Main Effects, Interaction Effects, Model Selection, AIC, BIC, and Probing Interactions.

Chapter 15 covers CORRELATION AND SIMPLE REGRESSION AS INFERENTIAL TECHNIQUES and includes the following specific topics, among others:Bivariate Normal Distribution, Statistical Significance Test of Correlation, Confidence Intervals, Statistical Significance of b-Weight, Fit of the Overall Regression Equation, R and R-squared, Adjusted R-squared, Regression Diagnostics, Residual Plots, Influential Observations, Discrepancy, Leverage, Influence, and Power Analyses.

Chapter 1 provides an introdution to the study of statistics and covers the following specific topics among others: Statistical Software in Data Analysis, Descriptive and Inferential Statistics, Measurement of Variables, and an introduction to the Stata Software Package

Chapter 11 covers INFERENCES INVOLVING THE MEAN WHEN σ IS NOT KNOWN: ONE- AND TWO-SAMPLE DESIGNS and includes the following specific topics, among others: t-Distribution, Degrees of Freedom, t-test assumptions, one-sample t-test, two-sample test for independent groups, two-sample test for related groups, paired-sample t-tests, effect size, the bootstrap, and power analysis.

Chapter 9 covers THE ROLE OF SAMPLING IN INFERENTIAL STATISTICS and includes the following specific topics, among others: Samples and Populations, Random Samples, Simple Random Sampling, Sampling with and without Replacement, Sampling Distributions, the Sampling Distribution of Means, The Central Limit Theorem,Estimators and Bias.