Applied Probability and Statistical Inference. 3 credits

Catalog description

This course provides a rigorous introduction to probability theory and statistical inference, with an emphasis on theoretical foundations and practical applications. Topics covered include random variables, probability distributions, conditioning, associations and independence, transformation of variables, limit theorems, sufficiency, point and interval estimation, hypothesis testing, maximum likelihood inference, and introduction to Bayesian inference. Notes: Students may not receive credit for both STAT 521 and either STAT 544 or STAT 652 . Offered by Statistics . May not be repeated for credit.