Special discrete and continuous probability distributions; concepts of estimation; sampling distributions, the Central Limit Theorem, and its applications; confidence interval estimation and parametric hypothesis tests for proportion(s), mean(s) and standard deviation(s); the analysis of paired data; nonparametric hypothesis testing; simple linear regression, with prediction and inference; the analysis of variance. Further concepts in statistics and probability, as time permits. Note: Students counting credit for STAT 2793 cannot count credit for BA 2606, and/or PSYC 3913.