Introduction and evidence-based practice -- Why study statistics? -- Use of statistics in evidence-based practice -- Review of key research methodology concepts and terms -- Descriptive statistics -- Frequency distributions -- Graphs and charts -- Measures of central tendency -- Measures of dispersion -- Types of distribution -- z-scores, percentiles, and effect size -- Inferential data analysis: conceptual foundation -- Probability and sampling distributions -- Hypothesis testing and statistical significance -- Type I and type II errors -- Interpreting the strength and importance of relationships -- Inferential data analysis: parametric and nonparametric procedures -- T-test -- Analysis of variance -- Cross-tabulation and chi-square -- Correlation -- Regression analysis -- Applications to single-system evaluation.