The Statistical Theory of Distributions is a sixteen-week blended e-learning course that combines online and face-to-face instruction, designed to help you apply probability distribution concepts and statistical theory to real-world data analysis and problem-solving. You will explore key topics such as random variables, probability distributions, expectations, moment-generating functions, and both univariate and multivariate distributions.

This space also serves as a resource hub to support your face-to-face coursework, a centralized location where you can access study materials, reference documents, and digitally enabled content, particularly focused on Chapter 4: Sampling and Sampling Distributions. You are encouraged to use these resources at your own pace to reinforce understanding and review content introduced in class. While the course includes quizzes for practice and feedback (not counted toward your final grade), a graded Open-Response Assessment is included at the end of Chapter 4, which contributes to your overall course performance. Please note, this course does not offer a certificate, and your achievements will be assessed solely through in-person coursework and designated graded components.