STAT 395
Probability II
3.0 credits
Course Description
Jointly distributed random variables; conditional distributions and densities; conditional expectations and variance; covariance, correlation, and Cauchy-Schwarz inequality; bivariate normal distribution; multivariate transformations; moment generating functions; sums of independent random variables; Central Limit Theorem; Chernoff's inequality; Jensen's inequality. Prerequisite: either a minimum grade of 2.0 in MATH 394/STAT 394, or a minimum grade of 2.0 in STAT 340. Offered: jointly with MATH 395; WSpS.
Syllabus Downloads
Current Time Schedule
Winter, 2023
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
|
20766 A Open |
M W F 9:30AM - 10:20AM |
ECE 125 |
Christopher Hoffman |
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