MATH-31500 Probability and Statistics 1

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.

Credits

3

Prerequisite

MATH 20100 and MATH 32500