311 Survey Sampling Design
Topics include simple random sampling, stratified sampling, systematic sampling,
cluster sampling, multi-stage sampling, bootstrap samples. Prerequisite: STAT
101(201) or 224 or 231. Three credits and a one-hour lab. Not offered 2017-2018;
next offered 2018-2019.
331 Statistical Methods
An investigation of statistics and experimental design in the context of biological
and health science issues. Topics include analysis of variance, categorical data;
distribution-free tests; linear and multiple regression. Students will learn to analyze
data and interpret conclusions using a statistical software package. Recommended
strongly for all major, advanced major, and honours students. Credit will be
granted for only one of STAT 331, PSYC 394, PSYC 390. Cross-listed as BIOL
331. Prerequisite: STAT 101(201) or 224 or 231. Three credits and a one-hour lab.
333 Introductory Probability Theory
Material will include: combinational analysis; axioms of probability; the law of
total probability and Bayes’ Theorem; discrete and continuous random variables;
mathematical expectation and variance; joint distributions; introduction to momentgenerating
functions and their applications; limit theorems. Prerequisites: MATH
222 or 267 and MATH 223 or 253. Three credits.
334 Mathematical Statistics
Topics include distribution theory; order statistics; point and interval estimation;
MVUEs and the Rao-Blackwell theorem; consistency and sufficiency; the method
of maximum likelihood; the method of moments; uniformly most powerful tests and
the Neymann-Pearson fundamental lemma; likelihood ratio tests; least squares
theory; statistical models and estimation in ANOVA. Prerequisite: STAT 333. Three
credits. Offered 2017-2018 and in alternate years.
357 Regression Analysis
An investigation of the statistical techniques for modeling the relationship between a dependent variable and one or more independent or predictor variables. Topics include ordinary least squares method and linear regression, matrix algebra and multiple regression, variable selection, residual analysis, multicolinearity, and generalized linear models. Credit will be granted for only one of STAT 357 or STAT 435. Prerequisite: STAT 231 or 333. Three credits and a one-hour lab. Not offered 2020-2021; next offered 2021-2022.