32 courses in the 1992–93 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. Estimation, hypothesis testing, two-sample techniques and paired comparisons, regression, correlation.
For Science students only
Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, regression, correlation.
For Science students only
16:145
Descriptive statistics, probability, discrete and continuous random variables. Sampling distributions and simple hypothesis testing. Introduction to survey sampling.
Prereq: MATH 111B,113A
Open only to students from the School of Accountancy
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 113B or equivalent
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 137 and second-year Standing
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 237, and STAT 230 Antireq: STAT 221, 247 Also offered at St. Jerome's College in the Winter term
STAT 240 is an advanced-level enriched version of STAT 230. Prerag: MATH 138 Antireq: STAT 220, 230
STAT 241 is an advanced-level enriched version of STAT 231. Prereq: MATH 237, and STAT 230 Antireq: STAT 221, 231
Linear regression. Introduction to the design of experiments. Completely randomized and randomized biock designs. Analysis of variance.
Prereq: STAT 202 or 204
For Science students only
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
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.
Prereq: MATH 237, and STAT 231
Course Descriptions Statistics
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
Introduction to survey sampling of popula-
tions. Elementary sampling designs.
Efficiency comparisons for sampling
designs and estimation procedures. Prereq: STAT 231 or equivalent Antireg: STAT 322
Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications.
Prereq: STAT 230, and third-year standing
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 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
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
Point processes. Renewal theory.
Stationary processes. Selected topics. Prereq: STAT 333 or consent of
instructor
Problems associated with the analysis of
stochastic systems and siatistical data by
computer; simulation techniques, numeri-
cal 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
Discussion of generat 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 1992-93
Prereq: STAT 330 and 331, or consent of instructor
May not be offered 1992-93
Not offered in 1992–93.
Not offered in 1992–93.
Not offered in 1992–93.
Not offered in 1992–93.
Not offered in 1992–93.