Description
An applied methods course designed to prepare graduate students for statistical analyses in their disciplines, providing solid grounding in the theory behind statistical tests they will use in their fields of study. The course has no statistics prerequisites but assumes academic maturity at the graduate level. Descriptive statistics, discrete and continuous probability distributions (including binomial and normal), linear correlation, regression, confidence intervals, hypothesis testing, and analysis of variance (ANOVA). Statistical software will be used in the application of theory.