(Stat 371, 3 credits)
Introduction to modern statistical practice in the life sciences, using the R programming language. Topics include exploratory data analysis, probability and random variables; one-sample testing and confidence intervals, role of assumptions, sample size determination, two-sample inference; basic ideas in experimental design, analysis of variance, linear regression, goodness-of fit; biological applications.
This course is part of the curriculum for: