31 courses in the 1988–89 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Elementary probability, populations, samples and distributions with biological examples. Methods for data summary
and presentation including an introduc-
tion to interactive programming. Estimation, hypothesis testing, two-sample techniques and paired comparisons. Contingency tables.
For Science students only.
Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, goodness of fit.
For Science students only.
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 130B
Not open to Honours Mathematics students.
Antireq: STAT 230, 240
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
The laws of probability, discrete and continuous random variables, expectation, central limit theorem.
Prereq: MATH 130B
Antireq: STAT 220, 240
Also offered at St. Jerome's College in the Fall term..
Estimation, tests of significance, probability plots. Contingency tables, normal distribution theory, simple linear regression. Prereq: MATH 230A, STAT 230 Antireq: STAT 221, 241 Also offered at St. Jerome's College in the Winter term.
STAT 240 is an advanced-level enriched version of STAT 230. Prereq: MATH 130B Antireq: STAT 220, 230
STAT 241 is an advanced-level enriched version of STAT 231. Prereq: MATH 230A, STAT 230 Antireq: STAT 221, 231
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.
Review of tests of significance, confidence intervals, and properties of the normal distribution. Normal linear models. Elementary sampling theory.
Prereq: A one-term course in statistics or probability
Open only to students in Honours Arts Accounting Programs.
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
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
Random variables and distribution theory. Functions of random variables. Limiting distributions. Hypothesis testing. Estimation. Large sample theory.
Review of normal theory. The multivariate normal distribution. Normal linear models. Variable selection. Extensions to weighted least squares and non-normal models. Prereq: MATH 234A, STAT 231 Antireq: STAT 321
Introduction to survey sampling of popu-
lations. Elementary sampling designs.
Efficiency comparisons for sampling
designs and estimation procedures. Prereq: STAT 231 or the equivalent Antireq: STAT 322
Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications.
Prereq: STAT 230
Course Descriptions 16:111 Mathematics.
Statistics
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 SCI 251.
ME 202, SY DE 214, or consent of the
instructor
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
Introduction to designed experiments. Basic experimental designs. Factorial arrangement of treatments. Confounding and fractional replication. Selected topics.
Prereq: STAT 331 or consent of instructor
Review of the normal linear model; response surface methodology; nonlinear normal models; linear models for binary data and cross-classification; log linear models for contingency tables; selected topics.
Prereq: STAT 331
Point processes. Renewal theory.
Stationary processes. Selected topics. Prereq: STAT 333 or consent of
instructor
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
Model building. Multiple regression and forecasting. Exponential smoothing. Box- Jenkins models. Smoothing of seasonal data.
Prereq: STAT 331 or consent of instructor
16:112 Course Descriptions
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
Prereq: STAT 333 or consent of instructor May not be offered 1988-89.
Prereq: STAT 330,331 or consent of instructor
May not be offered 1988-89.
Not offered in 1988–89.
Not offered in 1988–89.
Not offered in 1988–89.
Not offered in 1988–89.
Not offered in 1988–89.