Course Description
This introduction to probability course will cover the following topics: Conditional probability and statistical independence, Bayes Theorem, random variables, mathematical expectation, variance, covariance and the correlation coefficient for two random variables, as well as examining important discrete distributions.
Course ID: STAT 132
| Credit hours | Theory | Practical | Laboratory | Lecture | Studio | Contact hours | Pre-requisite | 3 | 3 | 3 | - |
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Published on: 23 June 2014
Last update on: 11 May 2015
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