[How to read the course descriptions]

*
Undergraduate Officer
*

J.C. Robinson, MC 6030, ext. 5538

**
Courses not offered in the current academic year are listed at the end of this section.
**

**Note:**
*
More detailed course descriptions and course outlines are available in the Statistics Undergraduate Studies Handbook.
*

**STAT 202 F 3C,1L 0.5**

**Elementary Statistics for Biologists
**

Elementary probability, populations, samples and distributions
with biological examples. Methods for data summary and presentation.
Estimation, hypothesis testing, two-sample techniques and paired
comparisons, regression, correlation.
*For Science students only
*

**STAT 204 F 3C,1L 0.5**

**Statistics for the Physical Sciences 1
**

Descriptive statistics. Probability, random variables, discrete and
continuous distributions. Estimation and hypothesis testing, regression,
correlation.
*For Science students only
*

**STAT 211 F,S 3C,1T 0.5**

**Introductory Statistics and Sampling for Accounting
**

Descriptive statistics, probability, discrete and continuous random
variables. Sampling distributions and simple hypothesis testing.
Introduction to survey sampling.

*Prereq: MATH 109
Open only to students from the School of Accountancy
*

**STAT 220 F 3C,1T 0.5**

**Introduction to Statistical Methods 1
**

Introduction to design of experiments; descriptive statistics
(histograms, summary statistics, stem and leaf plots, correlation);
probability (the normal and binomial distributions, other continuous and
discrete distributions); chance variability (linear combinations of random
variables, the central limit theorem).

*Prereq: MATH 108 or equivalent
Not open to Honours Mathematics students
Antireq: STAT 230, 240
*

**STAT 221 W 3C,1T 0.5**

**Introduction to Statistical Methods 2
**

Chance models (applied to measurement error and genetics); tests
of significance (one- and two-sample z- and t-tests); simple linear
regression (including analysis of variance and parameter estimation);
survey sampling (including estimation of means, totals and proportions in
simple random sampling).

*Prereq: STAT 220
Not open to Honours Mathematics students
Antireq: STAT 231, 241
*

**STAT 230 F,W,S 3C,1T 0.5**

**Probability
**

The laws of probability, discrete and continuous random
variables, expectation, central limit theorem.

*Prereq: MATH 137 and second-year standing
Antireq: STAT 220, 240
Also offered at St. Jerome's College in the Fall term
*

**STAT 231 F,W,S 4C, 0.5**

**Statistics
**

Empirical problem solving, measurement systems, causal
relationships, statistical models, estimation, confidence intervals, tests of
significance.

*Prereq: STAT 230 or STAT 240
Coreq: MATH 237 or MATH 247
Antireq: STAT 221, STAT 241
Also offered at St. Jerome's College in the Winter term
*

**STAT 240 F,W 3C 0.5**

**Probability
**

STAT 240 is an advanced-level enriched version of STAT 230.

*Prereq: MATH 138
Antireq: STAT 220, 230
*

**STAT 241 W,S 3C 0.5**

**Statistics
**

STAT 241 is an advanced-level enriched version of STAT 231.

*Prereq: MATH 237, and STAT 230
Antireq: STAT 221, 231
*

**STAT 304 W 3C,1L 0.5**

**Statistics for the Physical Sciences 2
**

Linear regression. Introduction to the design of experiments.
Completely randomized and randomized block designs. Analysis of
variance.

*Prereq: STAT 202 or 204
For Science students only
*

**STAT 311 F,W 3C,1T 0.5**

**Regression and Forecasting for Accounting
**

Review of summary statistics and tests of hypothesis. Simple and
multiple linear regression. Prediction and diagnostic statistics. Simple
smoothing and forecasting.

*Prereq: STAT 211
Open only to students from the School of Accountancy
*

**STAT 321 W 3C,1T 0.5**

**Applied Regression Analysis
**

Review of normal theory. Normal linear models. Variable
selection. Weighted least squares. Non-normal models.

*Prereq: STAT 221
Not open to Honours Mathematics students
Antireq: STAT 331
*

**STAT 322 F 3C 0.5**

**Application of Sampling Surveys
**

The planning of surveys; simple random sampling; stratified
sampling; ratio and difference estimators; cluster and systematic sampling.

*Prereq: STAT 221
Not open to Honours Mathematics students
Antireq: STAT 332
*

**STAT 330 F,W 3C 0.5**

**Statistical Theory and Methods
**

Random variables and distribution theory. Functions of random
variables. Limiting distributions. Hypothesis testing. Estimation. Large
sample theory.

*Prereq: MATH 237, and STAT 231
Also offered at St. Jerome's College in the Fall term
*

**STAT 331 F,W,S 3C 0.5**

**Applied Linear Models
**

Review of normal theory. The multivariate normal distribution.
Normal linear models. Variable selection. Extensions to weighted least
squares and non-normal models.

*Prereq: MATH 235, and STAT 231
Antireq: STAT 321
*

**STAT 332 F,S 3C 0.5**

**Sampling
**

Introduction to survey sampling of populations. Elementary
sampling designs. Efficiency comparisons for sampling designs and
estimation procedures.

*Prereq: STAT 231 or equivalent
Antireq: STAT 322
*

**STAT 333 F,W,S 3C 0.5**

**Applied Probability
**

Review of basic probability. Generating functions. Theory of
recurrent events. Markov chains, Markov processes, and their applications.

*Prereq: STAT 230, and third-year standing
*

**STAT 335 F,W 3C 0.5**

**Statistical Process Control
**

Philosophy of process control. Control charts and their
application. Acceptance sampling. Sequential methods in process control.
Assessing the cost of quality. Introduction to experimental design.

*Prereq: One of STAT 231, M E 202, M SCI 251, SY DE
214, or consent of instructor
*

**STAT 371 W 3C 0.5**

**Stochastic OR Models
**

An introduction to the use of probabilistic models in operations
research. Techniques and applications of queueing theory, inventory theory
and reliability theory.

*Prereq: STAT 333
*

**STAT 430 F,S 3C 0.5**

**Experimental Design
**

Introduction to designed experiments. Basic experimental designs.
Factorial arrangement of treatments. Confounding and fractional
replication. Selected topics.

*Prereq: STAT 331 or consent of instructor
*

**STAT 431 W 3C 0.5**

**Advanced Regression Models and their Application
**

Review of the normal linear model and maximum likelihood
estimation; regression models for binomial, Poisson and multinomial data;
generalized linear models; and other topics in regression modelling.

*Prereq: STAT 331 or consent of instructor
*

**STAT 433 F 3C 0.5**

**Stochastic Processes
**

Point processes. Renewal theory. Stationary processes. Selected
topics.

*Prereq: STAT 333 or consent of instructor
*

**STAT 440 F 3C 0.5**

**Statistical Computing
**

Problems associated with the analysis of stochastic systems and
statistical data by computer; simulation techniques, numerical algorithms,
programming for statistical problems and statistical packages.

*Prereq: STAT 331
*

**STAT 443 F,W 3C 0.5**

**Forecasting
**

Model building. Multiple regression and forecasting. Exponential
smoothing. Box-Jenkins models. Smoothing of seasonal data.

*Prereq: STAT 331 or consent of instructor
*

**STAT 450 W 3C 0.5**

**Estimation and Hypothesis Testing
**

Discussion of general inference problems under the headings of
point and interval estimation, hypothesis testing and decision theory. Large
sample normal likelihoods, maximum likelihood estimation, theory of
UMV estimation, least squares, Neyman-Pearson theory of hypothesis
testing.

*Prereq: STAT 330
*

**STAT 464 0.5**

**Topics in Probability Theory
**

*Prereq: STAT 333 or consent of instructor
May not be offered 1995-96
*

**STAT 466 0.5**

**Topics in Statistics 1
**

*Prereq: STAT 330 and 331, or consent of instructor
May not be offered 1995-96
*

**Courses not offered 1995-96**

STAT 444 An Introduction to Econometrics

STAT 454 Sampling Theory and Practice

STAT 467 Topics in Statistics 2

STAT 468 Readings in Statistics 1

STAT 469 Readings in Statistics 2

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