Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
STATISTICAL METHODS FOR BIOSCIENCE I covers statistical inference, ANOVA, regression, and diagnostics for bioscience applications.
Offering recorded · Fall 2026
Historical reviews of Bret Larget, Debraj Das: Exams can be difficult and heavily weighted, with one reviewer noting they covered unseen material, while another found them fair and focused on required knowledge.
historical GPA · grades
Fall 2022–Fall 2025Introduction to statistical methods covering distributions, inference, regression, and experimental design.
Offering recorded · Fall 2026
Workload is described as manageable with straightforward exams, though success requires consistent effort and engagement with the material.
historical GPA · grades
Spring 2022–Spring 2026Introduction to statistics for science and engineering covering descriptive statistics, probability, hypothesis testing, linear regression, and ANOVA using R.
Offering recorded · Fall 2026
Homework is time-consuming, taking five to six hours per set, and exams are challenging with a time crunch. Students must spend significant time understanding homework to prepare for tests that may differ from practice problems.
historical GPA · grades
Spring 2022–Spring 2026Introduction to time series analysis covering stationarity, AR/MA models, and forecasting applications.
Offering recorded · Fall 2026
Historical reviews of Panduan An: Reviewers describe the course as difficult, with homework questions being very hard and a high drop rate before the midterm. The lecture pace is often too fast to take notes, and prereqs do not adequately prepare students for the workload.
historical GPA · grades
Fall 2022–Fall 2025STAT 371 introduces applied statistical practice for the life sciences using R, covering EDA, inference, ANOVA, and regression.
Offering recorded · Fall 2026
Historical reviews indicate varied workloads. John Davis reported short homework, whereas Cecile Ane assigned a heavy group project and required extra practice. Vivak Patel's course was noted as highly difficult.
historical GPA · grades
Spring 2022–Spring 2026STAT 421 teaches techniques for analyzing categorical response data, including contingency tables and regression modeling, using R.
Offering recorded · Fall 2026
The workload is relentless, consisting of approximately 66% homework with four to six hours of work per week across multiple large assignments.
historical GPA · grades
Fall 2022–Fall 2025STAT 424 introduces statistical experimental design, covering randomization, blocking, factorial designs, and response surface methodology with engineering applications.
Offering recorded · Fall 2026
Workload involves writing R code for homework, while exams are often predictable and similar to practice problems, though self-study via the textbook is recommended.
historical GPA · grades
Spring 2022–Spring 2026STAT 992 is a graduate-level seminar covering special topics in statistics, with subject matter varying by offering.
Offering recorded · Fall 2026
Historical reviews of Joshua Cape: The review does not specify workload or difficulty, only noting the material is delivered in an easy-to-understand way.
historical GPA · grades
Fall 2022–Spring 2026