BIOL 7020 Statistics for Biologists
GRAD level Biostats course coversIntro vocabulary, Figures, Descriptivestatisticsfor mode, spread, and uncertainty, probability Hypothesis testing, Analyzing proportions (binomial test), Analyzing count data (chi-sq, odds ratio, relative risk), Analyzing means (various t-tests, one-way ANOVA, ANOVA post-hoc tests, nonparametric alternatives) using R, Linear correlation and regression, Intro Python, Intro Linux, working on computer cluster, Displaying data, Independent projects (e.g., automating a repetitive research task, re-creating an analysis from a paper)
Course overview
- Department
- Biology
- School
- MCAS
- Credits
- 3
- Level
- Graduate
- Offered
- Annually
Course evaluations
- Course rating
- 3.43 / 5 · Good
- Instructor rating
- 3.79 / 5 · Very Good
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Jeffrey Dacosta | 4.0 | 4.1 | 4.1 | 4.5 | 4.1 | 4.5 | 4.6 | 4.6 | 1–3 hrs/week | 8 of 9 |
| Summer 2024 | Jeffrey Dacosta | 2.7 | 3.3 | 2.7 | 3.7 | 3.3 | 4.3 | 4.2 | 4.3 | 4–6 hrs/week | 6 of 10 |