Undergraduate Calendar 1999-2000

Undergraduate Officer

W.H. Cherry, MC 6153, ext. 3550

STAT200s

STAT 202 F 3C,1L 0.5
Elementary Statistics for Biologists
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


STAT 204 F 3C,1L 0.5
Statistics for the Physical Sciences 1
Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, regression, correlation.
For Science students only


STAT 211 F 3C,1T 0.5
Introductory Statistics and Sampling for Accounting
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


STAT 220 F 3C,1T 0.5
Introduction to Statistical Methods 1
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
Antireq: STAT 230, 240
Not open to Honours Mathematics students


STAT 221 W 3C,1T 0.5
Introduction to Statistical Methods 2
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
Antireq: STAT 231, 241
Not open to Honours Mathematics students


STAT 230 F,W,S 3C,1T 0.5
Probability
The laws of probability, discrete and continuous random variables, expectation, central limit theorem.
Prereq: MATH 137
Antireq: STAT 220, 240
Also offered at St. Jerome's College in the Fall term
Note: STAT 230 is normally taken in second year. Students with an average of 80% in Honours Mathematics courses in 1A may request to take STAT 230 in 1B.


STAT 231 F,W,S 4C 0.5
Statistics
Empirical problem solving, measurement systems, causal relationships, statistical models, estimation, confidence intervals, tests of significance.
Prereq: STAT 230 or STAT 240
Coreq: MATH 237 or MATH 247
Antireq: STAT 221, STAT 241
Also offered at St. Jerome's College in the Winter term


STAT 240 F,W 3C 0.5
Probability (Advanced Level)
STAT 240 is an advanced-level enriched version of STAT 230.
Prereq: MATH 137
Antireq: STAT 220, 230
Note: STAT 240 is normally taken in second year. Students with an average of 80% in Honours Mathematics courses in 1A may request to take STAT 240 in 1B.


STAT 241 F, W, S 3C 0.5
Statistics (Advanced Level)
STAT 241 is an advanced-level enriched version of STAT 231.
Prereq: MATH 237, and STAT 230
Antireq: STAT 221, 231


STAT300s

STAT 304 W 3C,1L 0.5
Statistics for the Physical Sciences 2
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 311 F,W 3C,1T 0.5
Regression and Forecasting for Accounting
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


STAT 321 W 3C,1T 0.5
Applied Regression Analysis
Review of normal theory. Normal linear models. Variable selection. Weighted least squares. Non-normal models.
Prereq: STAT 221
Antireq: STAT 331
Not open to Honours Mathematics students


STAT 322 F 3C 0.5
Applications of Sample Surveys
The planning of surveys; simple random sampling; stratified sampling; ratio and difference estimators; cluster and systematic sampling.
Prereq: STAT 221
Antireq: STAT 332
Not open to Honours Mathematics students


STAT 330 F,W 3C 0.5
Statistical Theory and Methods
Random variables and distribution theory. Functions of random variables. Limiting distributions. Hypothesis testing. Estimation. Large sample theory.
Prereq: MATH 237, and STAT 231
Also offered at St. Jerome's College in the Fall term


STAT 331 F,W,S 3C 0.5
Applied Linear Models
Modeling the relationship between a response variable and several explanatory variables (an output-input system) via regression models. Least squares algorithm for estimation of parameters. Hypothesis testing and prediction. Model diagnostics and improvement. Algorithms for variable selection. Nonlinear regression and other methods.
Prereq: MATH 235, and STAT 231
Antireq: STAT 321, STAT 361


STAT 332 F,S 3C 0.5
Sampling
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


STAT 333 F,W,S 3C 0.5
Applied Probability
Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications.
Prereq: STAT 230, and third-year standing


STAT 335 W 3C 0.5
Statistical Process Control
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


STAT 340/CS437 W 3C 0.5
Computer Simulation of Complex Systems
Building and validation of stochastic simulation models useful in computing, operations research, engineering and science. Related design and estimation problems. Variance reduction. The implementation and analysis of simulation results.
Prereq: STAT 231
Antireq: CS 457, STAT 371


STAT 361 F, W, S 3C 0.5
Applied Linear Models for Business and Accounting
Practical and theoretical aspects of simple and multiple regression models. Model fitting and testing. Model building. Analysis of variance. Applications to problems in business and accounting.
Prereq: Math 235 and STAT 231
Antireq: STAT 321, STAT 331
Note: STAT 361 is open only to students in the Math/Business or Math/Accountacy Programs


STAT400s

STAT 430 F,S 3C 0.5
Experimental Design
Introduction to designed experiments. Basic experimental designs. Factorial arrangement of treatments. Confounding and fractional replication. Selected topics.
Prereq: STAT 331 or consent of instructor


STAT 431 W 3C 0.5
Generalized Linear Models and their Applications
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 330, 331 or consent of instructor


STAT 433 F 3C 0.5
Stochastic Processes
Point processes. Renewal theory. Stationary processes. Selected topics.
Prereq: STAT 333 or consent of instructor


STAT 440 W 3C 0.5
Statistical Computing
Numerical algorithms in statistics; optimization techniques; elements and statistical uses of Monte Carlo methods; EM algorithm; model search and model averaging.
Prereq: STAT 331


STAT 441 F 3C 0.5
Computational Exploration of Data
Data visualization; dimension reduction, classification and discrimination, clustering algorithms; other topics in data exploration.
Prereq: STAT 331


STAT 443 F,W 3C 0.5
Forecasting
Model building. Multiple regression and forecasting. Exponential smoothing. Box-Jenkins models. Smoothing of seasonal data.
Prereq: STAT 331 or STAT 361 or consent of instructor


STAT 446 3C 0.5
Mathematical Models in Finance
Mathematical techniques used to price and hedge derivative securities in modern finance. Modelling, analysis and computations for financial derivative products, including exotic options and swaps in all asset classes. Applications of derivatives in practice.
Prereq: STAT 330, 333, and ACTSC 231 or consent of instructor.
Cross-listed as ACTSC 446.


STAT 450 W 3C 0.5
Estimation and Hypothesis Testing
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


STAT 454
Sampling Theory and Practice


STAT 464 0.5
Topics in Probability Theory
Prereq: STAT 333 or consent of instructor
May not be offered 1998-99


STAT 466 0.5
Topics in Statistics 1
Prereq: STAT 330 and 331, or consent of instructor
May not be offered 1998-99


STAT 467
Topics in Statistics 2


STAT 468
Readings in Statistics 1


STAT 469
Readings in Statistics 2

The Undergraduate Calendar is published by the
Office of the Registrar, University of Waterloo, Waterloo, ON N2L 3G1 Canada
Inquiries: infoucal@www.adm.uwaterloo.ca
Revised February 1999