Fall, Spring, Summer
The course will provide students in the life sciences with an introduction to modern statistical practice. 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.
Math 112 & 113 or Math 114
Students in many disciplines in the life sciences such as biology, biochemistry, genetics, and kinesiology.