Introduction to Probability and Statistics I
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.
- Credit will be granted for only one of STAT 260, STAT 250, STAT 254.
- See "Credit Limit - Beginning Level Statistics Courses".
Pre- or Co-requisites: