33 courses in the 1985–86 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Course Descriptions
Courses not offered in the current academic year are listed at the end of this section.
Elementary probability, populations, samples and distributions with biological examples. Methods for data summary and presentation including an introduction 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.
Probability theory; discrete and continuous random variables. Expectation.
Prereq: MATH 130b
Nat open to Honours Mathematics students.
Credit. will be given for only 1 of STAT 220, 230.
Tests of significance, maximum likelihood estimation and large sample theory; estimation and testing in the normal distribution. Correlation, regression and the method of least squares.
Prereq: STAT 220 .
Not open to Honours Mathematics students.
Credit will be given for only 1 of STAT 221, 231.
Methods 2
The laws of probability, discrete and continuous random variables, expectation, central limit theorem.
Prereq: MATH 130b
Credit will be given for only 1 of STAT 220, 230.
Estimation, tests of significance, probability plots. Contingency tables, normal distribution theory, simple linear regression. Prereq: STAT 230, MATH 230a Credit will be given for only 1 of STAT 221, 231.
Linear regression. Introduction to the design of experiments. Completely randomized and randomized block designs. Analysis of variance. Nonparametric statistics.
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.
Random variables and distributions. Transformations. Estimation. Testing hypotheses. Large sample theory and maximum likelihood.
Prereq: STAT 221, MATH 220b
Not open to Honours Mathematics Students.
Credit will be given for only 1 of STAT 320, 330.
Review of normal theory. Normal linear models. Variable selection. Weighted least squares. Non-normal models.
Prereq: STAT 221
Not open to Honours Mathematics students.
Credit will be given for only 1 of STAT 321, 331.
Random variables and distribution theory. Functions of random variables. Limiting distributions. Hypothesis testing. Estimation. Large sample theory. Prereq: STAT 231, MATH 230b Credit will be given for only 1 of STAT 320, 330.
16.107
Review of normal theory. The multivariate normal distribution. Normal linear models. Variable selection. Extensions to weighted least squares and non-normal models.
Prereq: STAT 231, MATH 234a
Credit will be given for only 1 of STAT 321, 331.
Introduction to survey sampling of populations. Elementary sampling designs. Efficiency comparisons for sampling designs and estimation procedures. Prereq: STAT 221 or the equivalent Credit will be given for only 1 of STAT 332, 454..
Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications.
Prereq: STAT 230 or 220/221
Introduction to designed experiments. Basic experimental designs. Factorial arrangement of treatments. Confounding. and fractional replication. Selected topics.
Prereq: STAT 331 or consent of instructor
Point processes. Renewal theory.
Stationary processes. Selected topics. Prereq: STAT 333 or consent of
instructor
The decision problem. Bayesian and classical analyses. Acceptance sampling. Sequential procedures. An introduction to the statistical aspects of quality control.
Prereq: STAT 320 or 330
Model building. Multiple regression and forecasting. Exponential smoothing. Box-Jenkins models. Smoothing of seasonal data.
Prereq: STAT 321 or 331
16.108 .
Discussion of general inference probtems 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
Logic of tests of significance; exact tests and confidence intervals; normal approximations accurate for small samples and relationship to the normality of the likelihood function. Introduction to problems involving more than one parameter.
Prereq: STAT 450 or consent of instructor
Introduction to sample theory and practice. Elementary sampling and designs and estimation procedures. Statistical inference in survey sampling. Interrelationships between survey sampling and the design of experiments.
Prereq: STAT 331; STAT 330 is recommended
Credit will be given for only 1 of STAT 332, 454.
Prereq: STAT 333 or consent of instructor May not be offered 1985-86.
Prereq: STAT 330/331 or consent of instructor
May not be offered 1985-86.
May not be offered 1985-86.
Not offered in 1985–86.
Not offered in 1985–86.
Not offered in 1985–86.
Not offered in 1985–86.
Not offered in 1985–86.
Not offered in 1985–86.
Not offered in 1985–86.