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STA 3381 Probability and Statistics

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The STA 3381 Probability and Statistics course provides an elementary introduction to likelihood and statistics with applications. Topics include basic likelihood models; combinatorics; random variables; discrete and continuous likelihood distributions; applied mathematics estimation and testing; confidence intervals; and an introduction to statistical regression.

At the tip of this course, students should:

1. Perceive ideas of distinct likelihood, probability, independence, and be able to apply these ideas to engineering applications (selected by instructor).

2. Perceive mathematical descriptions of random variables together with likelihood mass functions (PMFs), accumulative distribution functions (CDFs), likelihood distribution functions (PDFs), conditional mass, conditional distribution and conditional density functions.

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