MATH 2280 — Statistics and Software
4 semester hoursUndergraduateLectureNUpath ADusually offered: fall, springtypical days: M/W/ThBostonTraditional
Provides an introduction to basic statistical techniques and the reasoning behind each statistical procedures. Covers appropriate statistical data analysis methods for applications in health and social sciences. Also examines a statistical package such as SPSS or SAS to implement the data analysis on computer. Topics include descriptive statistics, elementary probability theory, parameter estimation, confidence intervals, hypothesis testing, nonparametric inference, and analysis of variance and regression with a minimum of mathematical derivations.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 18 | 38 | 47% | 10.0 |
| Spring 2024 | 1 | 10 | 32 | 31% | 22.0 |
| Fall 2024 | 2 | 21 | 38 | 55% | 8.5 |
| Spring 2025 | 1 | 6 | 32 | 19% | 26.0 |
| Fall 2025 | 2 | 26 | 38 | 68% | 6.0 |
| Spring 2026 | 1 | 6 | 32 | 19% | 26.0 |
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 64% · T 0% · W 71% · Th 63% · F 0%
Common patterns: MWR (53% of sections), W (18% of sections), M (11% of sections), R (10% of sections), S (7% of sections) — in patterns, R means Thursday
Professors
Fall
- Matthew Webber (55% of students) · reviews
- Bindu Veetel (26% of students) · reviews
- Jiewei Feng (18% of students) · reviews
Spring
- Matthew Webber (73% of students) · reviews
- Bindu Veetel (27% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
CS 4350, ECON 2560, ECON 3291, ECON 3410, ECON 3413, ECON 3416, ECON 4640, ECON 4681, ECON 4692, ECON 4970, EECE 5644, MISM 3202, MISM 3515, MISM 3525, MISM 4501, MKTG 3401, MKTG 3601, PHTH 4202, POLS 2400
Courses that list MATH 2280 in their prerequisites.
Links
Official catalog (MATH course descriptions) · Student reviews on RateMyHusky · All MATH courses · Plan it at numap.app