**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.