Class Number: 2562
Description: Hours: Three hours lecture per week
Prerequisite: MATH 201 or MATH 202 or PSY 202 or MATH 300 or MATH 352
Description: Sampling distributions, estimation, bias, confidence intervals, efficiency, consistency, sufficiency, Cramer-Rao bound, maximum likelihood, hypothesis testing, Neyman-Pearson Lemma, linear models, regression, experiment design, ANOVA, analysis of categorical data, nonparametric methods, and Bayesian estimation. Application of statistical theory in the laboratory using modern computer software.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| TTH | 09:00 AM - 10:15 AM | 08/21/2021 - 12/11/2021 | Online | Alona Kryshchenko |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 08/21/2021
End Date: 12/11/2021
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 11
Available Seats: 13
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Upper Division
- In-Person