32 courses in the 1990–91 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Notes
Undergraduate Officer Jack Robinson, MC 6030, ext. 4493
Courses not offered in the current academic year are listed at the end of this section.
Introductory Notes
1. The following courses are offered in conjunction with the Division of Mathematics for industry and Commerce: STAT 331, 332, 333, 335, 371, 443
2. More detailed course descriptions and course outlines are available in the Statistics Undergraduate Studies Handbook.
STAT 202Elementary Statistics for BiologistsF 2C,1L 0.5
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.
STAT 204Statistics for the Physical Sciences 1F 2C,1L 0.5
Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, regression, correlation.
STAT 211Introductory Statistics and Sampling for AccountingF,S 30,1T 0.5
Descriptive statistics, probability, discrete and continuous random variables. Sampling distributions and simple hypothesis testing. Introduction to survey sampling.
STAT 220Introduction to Statistical Methods 1F 3C,1T 0.6
introduction to design of experiments; descriptive statistics (histograms, summary statistics, stem and leaf piots, correlation); probability (the normal and binomiat distributions, other continuous and discrete distributions); chance variability (linear combinations of random variables, the central limit theorem). Prereq: MATH 113B or equivalent Not open to Honours Mathematics students, ; Antireq: STAT 230, 240
STAT 221Introduction to Statistical Methods 2W 3C,1T 0.5
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).
STAT 304Statistics for the Physical Sciences 2W 2C,iL 0.5
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 311Regression and Forecasting for AccountingF,W 3C,1T 0.5
Review of summary statistics and tests of hypothesis. Simple and multiple linear regression. Prediction and diagnostic statistics. Simple smoothing and forecasting. Prereq: STAT 211.
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
Random variables and distribution theory. Functions of random variables. Limiting distributions. Hypothesis testing. Estimation. Large sample theory. ' Prereq: MATH 230B or 237, and STAT 231
Review of normal theory. The multivariate normal distribution. Normal linear models. Variable selection. Extensions to weighted least squares and nonnormal models.
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
Philosophy of process control. Contro! charts and their application. Acceptance sampling. Sequential methods in process control. Assessing the cost of quality. Introduction to experimental
An introduction to the use of probabilistic models in operations research. Techniques and applications of queueing theory, inventory theory and reliability theory.
Introduction to designed experiments. Basic experimental designs. Factorial arrangement of treatments. Confounding and fractional replication. Selected topics.
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.
Problems associated with the analysis of stochastic systems. and statistical data by computer; simulation techniques, numerical algorithms, programming for statistical problems and statistical packages.
STAT 450Estimation and Hypothesis TestingW 3C 0.5 .
Discussion of general inference problems under the headings of point and interval estimation, hypothesis testing and decision theory. Large sample normal likelihoods, maximum likelinood estimation, theory of UMV estimation, least squares, Neyman-Pearson theory of hypothesis testing.