MATH-31500 Probability and Theory

The course covers the basic principles of probability and statistics, with applications. Topics include descriptive statistics, the axioms of probability, counting techniques, conditional probability, independence, discrete and continuous random variables, expected value, variation, normal, binomial and Poisson distributions, probability density functions, joint distributions, and point estimation. This course is an elective that completes the statistics sequence. Offered every Fall.

Credits

3

Prerequisite

MATH 20100 and MATH 32500