Jessi Cisewski


STAT 100b / STAT 500b Introductory Statistics

An introduction to statistical reasoning. Topics include numerical and graphical summaries of data, data acquisition and experimental design, probability, hypothesis testing, confidence intervals, correlation and regression. Application of statistical concepts to data; analysis of real-world problems.

Term: Spring
Day/Time: Monday, Wednesday, Friday 10:30am - 11:20am

STAT 361b / STAT 661b Data Analysis

Selected topics in statistics explored through analysis of data sets using the R statistical computing language. Topics include linear and nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection, classification, and clustering. Weekly sessions in the Statistical Computing laboratory.

After STAT 242 and MATH 222 or 225, or equivalents.

Term: Spring
Day/Time: Monday & Wednesday,2:30pm - 3:45pm (tentative)