MESA 6410 Introductory Statistics
This course provides an introduction to quantitative research, descriptive statistics, inferential statistics, and null hypothesis significance testing in the context of z tests for proportions, t tests for means, and simple linear regression. In each area, students learn how to apply statistical procedures, interpret concepts and results, effectively display data and models, and critically evaluate evidence and implications. Software instruction is provided for IBM SPSS Statistics, R, Stata, and G*Power.
Course overview
- Department
- Measurement, Evaluation, Statistics, and Assessment
- School
- Lynch
- Credits
- 3
- Level
- Both
- Offered
- Every Fall, Every Spring
Course evaluations
- Course rating
- 4.18 / 5 · Very Good
- Instructor rating
- 4.60 / 5 · Excellent
- Terms evaluated
- 7
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Nathaniel Brown | 3.9 | 4.5 | 4.8 | 4.8 | 4.5 | 4.2 | 4.6 | 4.1 | 7–9 hrs/week | 13 of 14 |
| Fall 2025 | Nathaniel Brown | 4.0 | 4.6 | 4.6 | 4.7 | 4.4 | 4.3 | 4.3 | 3.8 | 7–9 hrs/week | 20 of 27 |
| Spring 2025 | Nathaniel Brown | 4.8 | 4.8 | 5.0 | 5.0 | 4.8 | 4.8 | 4.9 | 4.1 | 7–9 hrs/week | 9 of 12 |
| Fall 2024 | Nathaniel Brown | 3.8 | 4.5 | 4.6 | 4.7 | 4.7 | 4.5 | 4.2 | 4.1 | 7–9 hrs/week | 30 of 40 |
| Summer 2024 | Katrina Borowiec | 5.0 | 5.0 | 5.0 | 5.0 | 4.5 | 5.0 | 4.8 | 4.7 | 4–6 hrs/week | 6 of 10 |
| Spring 2024 | Nathaniel Brown | 4.9 | 5.0 | 5.0 | 5.0 | 4.7 | 4.8 | 4.8 | 4.5 | 4–6 hrs/week | 11 of 12 |
| Fall 2023 | Nathaniel Brown | — | — | — | — | — | — | — | — | — | 24 of 31 |
Data freshness
Instructors
Sections
- Section 01
- Section 01
- Section 02
- Section 01