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Course Code: STAT403
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Credits: 3
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Hours Distribution: (3 Crs. : 3 Lec.,0 Tut., 0 Lab.)
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Course Type: Concentration Applied Statistics Courses (STAT)
Course Description
Students who complete this course will have a deeper understanding of random variables and probability theory. Conditional probability, independence, the Bayes rule, distribution functions, and moment-generating functions are just a few of the advanced subjects that students will study. Students will also learn about different kinds of random variables, such as continuous and discrete random variables, and how to use probability distributions to solve problems in the real world. Pre-requisite: Math241, Math 242.