STT 465 taught by Leonard Chukuma Johnson (Course & Instructor) - 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 / Leonard Chukuma Johnson - All Semesters
Average Grade - 3.014
Median Grade - 3.0
Latest grades from Fall 2024
STT 465 / Leonard Chukuma Johnson - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Fall 2019 | Average Grade - 3.216 Median Grade - 3.5 |
37 |
| Fall 2021 | Average Grade - 2.605 Median Grade - 3.0 |
38 |
| Fall 2022 | Average Grade - 2.967 Median Grade - 3.0 |
30 |
| Fall 2024 | Average Grade - 3.278 Median Grade - 3.5 |
36 |
Back to Overview for STT 465 / Leonard Chukuma Johnson
Fall 2024
Average Grade - 3.278
Median Grade - 3.5
Back to Overview for STT 465 / Leonard Chukuma Johnson
Fall 2022
Average Grade - 2.967
Median Grade - 3.0
Back to Overview for STT 465 / Leonard Chukuma Johnson
Fall 2021
Average Grade - 2.605
Median Grade - 3.0
Back to Overview for STT 465 / Leonard Chukuma Johnson
Fall 2019
Average Grade - 3.216
Median Grade - 3.5