| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 1 | 4.1 | 4.0 |
| Fall 2024 | 1 | 4.4 | 4.5 |
| Spring 2024 | 1 | 4.7 | 4.4 |
| Fall 2023 | 1 | 4.1 | 4.2 |
| Spring 2023 | 1 | 4.2 | 3.8 |
| Fall 2022 | 1 | 4.3 | 4.5 |
| Spring 2022 | 1 | 4.3 | 4.5 |
| Fall 2021 | 1 | 4.6 | 4.5 |
| Spring 2021 | 1 | 4.1 | 4.3 |
5 evaluations for this course
Topics studied include the following: sampling distributions, parametric point and interval estimation, hypothesis testing, goodness-of-fit, and parametric and nonparametric two-sample analysis. Applications to real data will be stressed, and the computer will be used to explore concepts and analyze data.
Estimated from the original workload response buckets. Individual sections may differ.
| Fall 2020 | 1 | 4.4 | 4.6 |
| Spring 2020 | 1 | 4.1 | 4.6 |
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