Introduction to Probability and Statistics I

1.5 credits · Undergraduate

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 are introduced and illustrated with examples from a variety of disciplines.