Introduction to Probability and Statistics I
Units: 1.5, Hours: 3-0
Descriptive statistics; elementary probability theory; random variables, discrete and continuous probability distributions, expectation, joint, marginal and conditional distributions; linear functions of random variables; random sampling and sampling distributions; point and interval estimation; classical hypothesis testing and significance testing. The mathematical foundations of statistical inference will be introduced and illustrated with examples from a variety of disciplines.
Note: Credit will be granted for only one of 260, 250, 252, 254, 255. See Credit Limit.
Pre- or corequisites: One of MATH 101, 103, 140, 208.
Undergraduate course in Statistics offered by the Department of Mathematics and Statistics in the Faculty of Science.