Introduction to Probability Theory
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Introduction to Probability Theory


Introduction to Probability Theory

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In this course, the student will learn the basic terminology and concepts of probability theory, including sample size, random experiments, outcome spaces, discrete distribution, probability density function, expected values, and conditional probability. The course also delves into the fundamental properties of several special distributions, including binomial, geometric, normal, exponential, and Poisson distributions. This free course may be completed online at any time. See course site for... More
Material Type: Online Course
Technical Format: HTML/Text
Date Added to MERLOT: January 27, 2012
Date Modified in MERLOT: January 27, 2012
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Submitter: Sean Connor
Keywords: Conditional, Probability, Central Limit Theorem, Discrete, Variables, Law of Large Numbers, Continuous, Distribution, Independent, Set


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Primary Audience: College Upper Division
Mobile Compatibility: Not specified at this time
Language: English
Material Version: 0
Cost Involved: no
Source Code Available: no
Accessiblity Information Available: no
Creative Commons: Creative Commons License
This work is licensed under a Attribution 3.0 United States


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