Probability and Statistics – 3081

Course Number: 3081
Credits: 4
Description: Focuses on probability theory. Topics include sample space; conditional probability and independence; discrete and continuous probability distributions for one and for several random variables; expectation; variance; special distributions including binomial, Poisson, and normal distributions; law of large numbers; and central limit theorem. Also introduces basic statistical theory including estimation of parameters, confidence intervals, and hypothesis testing.
Larsen-Marx An Introduction to Mathematical Statistics and its Applications (6th ed.)