This course is intended to graduate students in disciplines other than statistics whose studies involve research design and statistical data analysis. Topics include vocabulary of data analysis and principles of research design, significance tests, Type 1 and 2 errors, power and sample size, simple and multiple linear regression, ANOVA, analysis of correlated data (repeated measures), random effects models, introduction to R and computer-intensive methods (permutation, bootstrapping, simulation), and further topics depending on interests of students or instructor.