MATH 3331 Mathematical Statistics I
In this course, both discrete and continuous distributions are covered, with an exploration of their respective means and variances. This course addresses conditional and marginal distributions, explores concepts of independence, delves into moment-generating functions (MGFs), discusses kernels of distributions, introduces Bayes’ Theorem, and examines sensitivity and specificity. This course is part of a two-course sequence with MATH 3332.