Probability Distributions Credit Hours: 3 hours Builds the foundation in probability distribution theory that is necessary to learn statistical inference. Emphasizes mathematical rigor and includes topics such as probability laws; random variables and probability distributions; joint, marginal and conditional distributions; expectation and conditional expectation; transformations; and properties of a random sample. Prerequisites: STAT 4520/6520 or permission of department Semester Offered: Fall Level: Graduate
