Introduction to statistics and levels of measurement -- Presenting data -- Descriptive statistics, probability, and measures of central tendency -- Evaluating your measurement tool -- Sampling methods -- Generating the research idea -- Sample size, effect size, and power -- Chi-square -- Student t-test -- Analysis of variance (ANOVA) -- Correlation coefficients -- Regression analysis -- Relative risk, odds ratio, and attributable risk.