This document outlines discussion questions, assignments, and projects from an online statistics course (MTH 233) covering topics like measures of central tendency, dispersion, hypothesis testing, t-tests, ANOVA, and chi-square tests. Key concepts addressed include the differences between sample statistics and population parameters, levels of measurement, uses of histograms, measures of central tendency and dispersion, the steps in hypothesis testing, critical values vs test statistics, one-tailed vs two-tailed tests, degrees of freedom, assumptions of parametric and nonparametric tests, and observed vs expected frequencies.