32 courses in the 1994–95 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
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
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
Chance models (applied to measurement error and genetics); tests of significance (one- and two-sample 2- 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 tabies, normal distribution theory, simple linear regression. Prereq: MATH 237, and 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 138 i 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 tovthe design of experiments. Completely randomized and randomized block designs. Analysis of variance.
Prereq: STAT 202 or 204
For Science students only
Course Descriptions Statistics
Review of summary statistics and tests of hypothesis. Simple and muttiple 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 madels.
Prereq: STAT 221
Not open to Honours Mathematics students
Antireq: STAT 331
The planning of surveys; ‘simple random sampling; stratified sampying; ratio and difference estimators; cluster and systematic sampling.
Prereq: STAT 221
Not open to Honours Mathematics students
Antireq: STAT 332 *
Random variables anc, distribution theory.
Functions of random Variables. Limiting
distributions. Hypothesis testing.
Estimation. Large Safinpie th ery. Prereq: MATH 237. and STAT 231
Also offered at St. «Jerome's College in the Fail term
Review of normal thes, The multivariate normal distribution. N nal linear models.
Variable selection. Extensions to weighted least squares and NO), - oral models.
Introduction to sur’. tions. Elementar “° S2mpling of popula- YY sampling designs. Eficiency Com: arisons for sampling on 8N§ getimation procedure 3. req: STAT 231 or equivalent intireg: STAT 322
16:147
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
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 multino-
mial data; generalized linear models; anc
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 statistical 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 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 1994-95
Prereq: STAT 330 and 331, or consent of instructor
May not be offered 1994-95
Not offered in 1994–95.
Not offered in 1994–95.
Not offered in 1994–95.
Not offered in 1994–95.
Not offered in 1994–95.