Department of Statistics

Recent Instructors Reiland, Tom	ST 302	Statistics Methods II
	Course Description Confidence intervals and hypothesis testing with graphics in multiple samples and/or variables cases: tests for means/proportions of two independent groups, analysis of variance for completely randomized design, contingency table analysis, correlation, single and multiple linear regression; design of experiments with randomized blocks, factorial design and analysis of covariance. Computer use emphasized. Course Syllabus One and Two-sample comparisons One-way Analysis of Variance Robust and non-parametric statistics for measurement comparison problems Categorical variable methods: Chi-Square tests Simple linear regression: descriptive methods Measures of association: Pearson product moment correlation for measured and rank variables Statistical inference: simple linear regression Statistical inference: Pearson correlations Multiple regression Experimental design principles and anayses Course Prerequisites ST 301 Course Corequisites None Recent Textbooks Introduction to the Practice of Statistics, 4 ed., by David Moore and George McCabe