STA261H1: Probability and Statistics II

Hours

36L/12T

A rigorous introduction to the theory of statistical inference and to statistical practice. Statistical models, parameters, and samples. Estimators for parameters, sampling distributions for estimators, and the properties of consistency, bias, and variance. The likelihood function and the maximum likelihood estimator. Hypothesis tests and confidence regions. Examples illustrating statistical theory and its limitations. Introduction to the use of a computer environment for statistical analysis. (Note: STA261H1 does not count as a distribution requirement course).

Prerequisite
STA257H1/STAB52H3/STA256H5
Corequisite
MAT235Y1/MAT237Y1/MAT257Y1/MATB42H3/MAT236H5; MAT223H1/MAT240H1/MATA22H3/MATA23H3/MAT223H5/MAT240H5
Exclusion
ECO227Y1/STA238H1/STA248H1/STAB57H3/STA260H5/ECO227Y5
Breadth Requirements
The Physical and Mathematical Universes (5)