Chapter 1 For the Instructor
Chapter 2 Figures, Images, Equations, and Tables
Chapter 3 Introduction: Definition of Statistics; Three Reasons to Learn Some Statistics; Variables and Attributes; Practice Problems
Chapter 4 Levels of Measurement: Nominal Level, Categorical Data; Ordinal Level Data; Continuous, Interval-Ration Level Data; Practice Problems
Chapter 5 Data Representation: Frequency Tables; Histograms; Percentiles; Practice Problems
Chapter 6 Measures of Central Tendency: Mean; Median; Mode; Skewness; Practice Problems
Chapter 7 Measures of Dispersion: Range; Variance; Standard Deviation; Z-Scores; Areas Under the Curve; Practice Problems
Chapter 8 P-Values: Standard Error of the Mean; Area Under the Curve and P-Values; Type I and Type II Errors; P-Values; Confidence Intervals; Practice Problems
Chapter 9 Measures of Association: Pearson, Spearman, and Point Bi-Serial: Correlations: Causality, Dependence & Association; Spearman and Point Bi-Serial Correlations; Practice Problems
Chapter 10 Multiple Regression: Basics; Practice Problems
Chapter 11 T-Test and One-Way Analysis of Variance: Basics; Directional T-Test; One-Way Analysis of Variance; Practice Problems
Chapter 12 Chi-Square: Chi Square; Fisher's Exact; Phi; Practice Problems
Chapter 13 Single System Analysis: Basics; Directional T-Test; One-Way Analysis of Variance; Practice Problems
Chapter 14 Intermediate Topics: Multi-way ANOVA; Factorial ANOVA; Analysis of Covariance (F-Test); Analysis of Covariance (Regression); Practice Problems
Chapter 15 Answers to Problems
Chapter 16 Index
Chapter 17 Table A: Area Under the Curve
Chapter 18 Table B: Pearson Product Moment Correlation Coefficients
Chapter 19 Table C: T-Test
Chapter 20 Table D: Significance of F
Chapter 21 Table E: Chi-Square Probabilities
Chapter 22 Table F: Table of Random Numbers