Probability and Statistics for Scientists and Engineers

3 credits · Undergraduate

This course is a calculus-based introduction to the theory and application of probability and statistics. Topics covered include concepts of probability, events, populations, probability theorems, the concept of a random variable, continuous and discrete random variables, joint probability distributions, distributions of functions of a random variable, moments, Chebyshev’s inequality, the de Moivre-Laplace theorem, the central limit theorem, sampling and statistical estimation theory, hypothesis testing, simple regression analysis, and an introduction to the design of experiments. Prerequisite(s): MATH 101-3 Preclusion(s): MATH 371-3