ENVR 6500 — Biostatistics
4 semester hoursGraduateLecturetypical days: W/FBostonTraditional
Offers an in-depth overview of statistical methods used to analyze data, with a focus on the biological sciences as well as nonbiological applications. Covers probability theory, Bayes' theorem, hypothesis testing, derivations of statistical distributions, models used for inference with categorical and/or continuous data, linear models, model selection, information theory, and nonparametric methods in statistics. Offers students an opportunity to learn how to apply models to data in supervised lab sessions in the R programming environment.
Corequisites (same term)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 1 | 6 | 17% | 5.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 100% · Th 0% · F 100%
Common patterns: WF (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Kathleen Lotterhos (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (ENVR course descriptions) · Student reviews on RateMyHusky · All ENVR courses · Plan it at numap.app
More
{
"retired": true,
"retiredSince": "2026-09-03"
}