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Syllabus Information


Spring 2022
Jul 02, 2022
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Information Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course.

Syllabus Information
STAT 51600 - Basic Probability And Applications
Associated Term: Spring 2022
Learning Outcomes: 1. Identify which discrete and continuous distributions are applicable in a given setting. 2. Use conditional probabilities, Bayes theorem, and conditional distributions. 3. Utilize joint distributions in the context of several random variables. 4. Apply the law of large numbers and the central limit theorem in asymptotic settings. 5. Derive moments and moment generating functions for discrete and continuous random variables.
Required Materials:
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