Lecture, three hours; laboratory, one hour. Requisite: doctoral standing or consent of instructor, introductory statistics course. Introduction to applied statistics. Students gain skills to understand, conduct analyses, and interpret results of analyses to answer simple comparative and relationship research questions relevant to health science research. Topics include statistical inference and probability, distributions, effect size, analyses for description, data visualization, parametric and nonparametric tests for simple comparisons and relationships, and research database design and management. Students conduct analyses with statistical software and interpret results from their analyses and from research reports in literature. Letter grading.