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Statistics (STAT)

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.

Scanned page 461

STAT 202 Elementary 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.

For Science students only.

Course Descriptions Spanish Statistics

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STAT 204 Statistics for the Physical Sciences 1F 2C,1L 0.5

Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, regression, correlation.

For Science students only.

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STAT 211 Introductory 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.

Prereq: MATH 111B,113A

Open only to students from the School of Accountancy

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STAT 220 Introduction 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

Scanned page 461STAT 220 today

STAT 221 Introduction 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).

Prereq: STAT 220

Not open to Honours Mathematics Students.

Antireq: STAT 231, 241

Scanned page 461STAT 221 today

STAT 230 ProbabilityF,W,S 3C,1T 0.5

The laws of probability, discrete and continuous random variables, expectation, central limit theorem.

Prereq: MATH 130B, or MATH 137 and second-year standing t

Antireq: STAT 220, 240

Also offered at St. Jerome's College in the Fall term.

Scanned page 461STAT 230 today

STAT 231 StatisticsF,W,S 3C,1T 0.5

Estimation, tests of significance, probability plots. Contingency tables, normat distribution theory, simple linear regression.

Prereq: MATH 230A or 237, and STAT 230

Antireq: STAT 221, 241

Also offered at St. Jerome's College in the Winter term.

Scanned page 461STAT 231 today

STAT 240 ProbabilityF,W 3C 0.5

STAT 240 is an advanced-level

enriched version of STAT 230. Prereq: MATH 130B or 138 Antireq: STAT 220, 230.

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STAT 241 StatisticsW,S 3C 0.5

STAT 241 is an advanced-level enriched version of STAT 231. Prereq: MATH 230A or 237, and STAT 230 Antireq: STAT 221, 231

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STAT 304 Statistics 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.

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STAT 311 Regression 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.

“Open only to students from the

School of Accountancy.

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STAT 321 Applied Regression AnalysisW 3C 0.5

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

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STAT 322 Application of Sampling SurveysF 3C 0.5

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

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STAT 330 Statistical Theory and MethodsF,W 3C 0.5

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

Scanned page 462STAT 330 today

STAT 331 Applied Linear ModelsF,W,S 3C 0.5

Review of normal theory. The multivariate normal distribution. Normal linear models. Variable selection. Extensions to weighted least squares and nonnormal models.

Prereq: MATH 234A or 235, and STAT 231

Antireq: STAT 321

Scanned page 462STAT 331 today

STAT 332 SamplingF,S 3C 0.5

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

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STAT 333 Applied ProbabilityF,W,S 3C 0.5

Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications.

Prereq: STAT 230, and third-year standing

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STAT 335 Statistical Process ControiW 3C 0.5

Philosophy of process control. Contro! charts and their application. Acceptance sampling. Sequential methods in process control. Assessing the cost of quality. Introduction to experimental

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STAT 371 Stochastic OR ModelsW 3C 0.5

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

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STAT 430 Experimental DesignF,S 3C 0.5

Introduction to designed experiments. Basic experimental designs. Factorial arrangement of treatments. Confounding and fractional replication. Selected topics.

Prereq: STAT 331 or consent of instructor

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STAT 431 Applications of Regression ModelsW 3C 0.5

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

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STAT 433 Stochastic ProcessesF 30 0.5

Point processes. Renewal theory.

Stationary processes. Selected topics. Prereq: STAT 333 or consent of

instructor

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STAT 440 Statistical ComputingF 3C 0.5

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

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STAT 443 ForecastingW 3C 0.5

Model building. Multiple regression and forecasting. Exponential smoothing. Box-Jenkins models. Smoothing of seasonal data.

Prereq: STAT 331 or consent of instructor.

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STAT 450 Estimation 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.

Prereq: STAT 330

16:151

Scanned page 462STAT 450 today

STAT 464 Topics in Probability Theory0.5

Prereq: STAT 333 or consent of instructor May not be offered 1990-91.

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STAT 466 Topics in Statistics 10.5

Prereq: STAT 330 and 331, or consent of instructor

May not be offered 1990-91.

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STAT 444 An Introduction to Ecano- metrics

Not offered in 1990–91.

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STAT 454 Sampling Theory and Prac- tice

Not offered in 1990–91.

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STAT 467 Topics in Statistics 2

Not offered in 1990–91.

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STAT 468 Readings in Statistics 1

Not offered in 1990–91.

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STAT 469 Readings in Statistics 2 Systems Design Engineering

Not offered in 1990–91.

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