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STT 465 (Course) - Grade Details
(with breakdown by semester)
Course Title: Bayesian Statistical Methods
Course Description: Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
This is an interdepartmental course. Equivalent Course: EPI 465
STT 465 - All Semesters
Average Grade - 3.095
Median Grade - 3.5
Latest grades from Fall 2023
STT 465 - Overview
| Semester | Grade Info | Number of Students | |
|---|---|---|---|
| Fall 2015 | Average Grade - 3.143 Median Grade - 3.5 |
14 | |
| Fall 2017 | Average Grade - 3.214 Median Grade - 3.5 |
21 | |
| Fall 2018 | Average Grade - 2.875 Median Grade - 3.5 |
20 | |
| Fall 2019 | Average Grade - 3.216 Median Grade - 3.5 |
37 | |
| Fall 2020 | Average Grade - 3.298 Median Grade - 3.5 |
49 | |
| Fall 2021 | Average Grade - 2.605 Median Grade - 3.0 |
38 | |
| Fall 2022 | Average Grade - 2.967 Median Grade - 3.0 |
30 | |
| Fall 2023 | Average Grade - 3.483 Median Grade - 4.0 |
30 | |
| Spring 2021 | Average Grade - 3.000 Median Grade - 3.0 |
18 | |