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.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 1278 | LEC | MW | 12:00 PM - 01:15 PM | Bell Tower 2688 | Isaac Quintanilla-Salinas |
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