Statistics Courses
Department of Statistics and Actuarial Science | Faculty of Science
間眅埶AV Calendar 2012 Spring
The following are all the courses offered in this area. To view the current course catalog and/or course schedule on the Student Information System, visit (select "Class Search/Course Schedule" on the left menu).
Non-specialist STAT Courses
The following courses are intended to be particularly accessible to students who are not specializing in statistics: STAT 100, 101, 201, 203, 302, 403.
Courses
STAT 100-3 Chance and Data Analysis
Chance phenomena and data analysis are studied through simulation and examination of real world contexts including sports, investment, lotteries and environmental issues. Intended to be particularly accessible to students who are not specializing in Statistics. Students with credit for STAT 101, 201, 203, 270 or BUEC 232 will not receive additional credit for this course. Quantitative/Breadth-Science.
STAT 101-3 Introduction to Statistics
The collection, description, analysis and summary of data, including the concepts of frequency distribution, parameter estimation and hypothesis testing. To receive credit for both STAT 100 and STAT 101, STAT 100 must be taken first. Intended to be particularly accessible to students who are not specializing in Statistics. Students with credit for ARCH 376, BUEC 232 (formerly 332) or STAT 270 (formerly MATH 272 and 371) may not subsequently receive credit for STAT 101-3. Students with credit for STAT 102, 201, 203 (formerly STAT 103), 301, MATH 101 or 102 may not take STAT 101 for further credit. Quantitative.
STAT 201-3 Statistics for the Life Sciences
Research methodology and associated statistical analysis techniques for students with training in the life sciences. Intended to be particularly accessible to students who are not specializing in Statistics. Prerequisite: 30 units. Students with credit for STAT 101, 102, 203 (formerly 103), 270 (formerly MATH 272) or 301 may not take STAT 201 for further credit. Quantitative.
STAT 203-3 Introduction to Statistics for the Social Sciences
Descriptive and inferential statistics aimed at students in the social sciences. Scales of measurement. Descriptive statistics. Measures of association. Hypothesis tests and confidence intervals. Students in Sociology and Anthropology are expected to take SA 255 before this course. Intended to be particularly accessible to students who are not specializing in Statistics. Students with credit for STAT 101, 102, 103, 201, 270, ARCH 376 or, BUEC 232 (formerly 332), may not subsequently receive credit for this course. Recommended: a research methods course such as SA 255, CRIM 120, POL 213 or equivalent is recommended prior to taking STAT 203. Quantitative.
STAT 270-3 Introduction to Probability and Statistics
Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Corequisite: MATH 152 or 155 or 158. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.
STAT 285-3 Intermediate Probability and Statistics
This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference from survey results and experimental data. Statistical model building. Elementary design of experiments and regression methods. Introduction to lifetime analysis. Introduction to time series. Introduction to stochastic processes. Prerequisite: STAT 270. Prerequisite or corequisite: MATH 232. This course may not be taken for credit by students who have credit for STAT 330 prior to the Fall 03-3 term. Quantitative.
STAT 290-3 Selected Topics in Probability and Statistics
Topics in areas of probability and statistics not covered in the regular undergraduate curriculum of the department. Prerequisite: dependent on the topic covered.
STAT 300W-3 Statistics Communication
Guided experiences in written and oral communication of statistical ideas and results with both scientific and lay audiences. Prerequisite: 間眅埶AV to the major or honors programs in statistics or actuarial science at 間眅埶AV. Corequisite: STAT 350. Writing.
STAT 302-3 Analysis of Experimental and Observational Data
The standard techniques of multiple regression analysis, analysis of variance, and analysis of covariance, and their role in experimental research. Prerequisite: any STAT course except STAT 100, or BUEC 232, or ARCH 376. Students cannot obtain credit for STAT 302 if they already have credit for STAT 350, or if they are simultaneously enrolled in STAT 302 and STAT 350. Statistics major and honors students may not use this course to satisfy the required number of elective units of upper division statistics. However, they may include the course to satisfy the total number of required units of upper division credit. Quantitative.
STAT 305-3 Introduction to Biostatistical Methods for Health Sciences
Intermediate statistical techniques for the health sciences. Review of introductory concepts in statistics and probability including hypothesis testing, estimation and confidence intervals for means and proportions. Contingency tables and the analysis of multiple 2x2 tables. Correlation and regression. Multiple regression and model selection. Logistic regression and odds ratios. Basic concepts in survival analysis. Prerequisite: STAT 201 or 203. Students cannot obtain credit for STAT 305 if they already have credit for STAT 302 or 350, or if they are simultaneously enrolled in STAT 305 and either or both of STAT 302 and 350. Statistics major and honors students may not use this course to satisfy the required number of elective units of upper division statistics. Quantitative.
STAT 330-3 Introduction to Mathematical Statistics
Review of probability and distributions. Multivariate distributions. Distributions of functions of random variables. Limiting distributions. Inference. Sufficient statistics for the exponential family. Maximum likelihood. Bayes estimation, Fisher information, limited distributions of MLEs. Likelihood ratio tests. Prerequisite: STAT 285 and MATH 251. Quantitative.
STAT 336-3 Job Practicum I
This is the first term of work experience in a co-operative education program available to statistics students. Interested students should contact their departmental advisors as early in their career as possible for proper counselling. Units from this course do not count towards the units required for an 間眅埶AV degree. Prerequisite: students must apply and receive permission from the co-op co-ordinator at least one but preferably two terms in advance. They will normally be required to have completed 45 units with a GPA of 2.5 before they may take this practicum course. The course will be graded on a pass/withdraw basis. A course fee is required.
STAT 337-3 Job Practicum II
This is the second term of work experience in a co-operative education program available to statistics students. Units from this course do not count towards the units required for an 間眅埶AV degree. Prerequisite: STAT 336 or Job Practicum I from another department. Students must apply and receive permission from the co-op co-ordinator at least one term in advance. The course will be graded on a pass/withdraw basis. A course fee is required.
STAT 350-3 Linear Models in Applied Statistics
Theory and application of linear regression. Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models. Prerequisite: STAT 285 and MATH 251. Quantitative.
STAT 380-3 Introduction to Stochastic Processes
Review of discrete and continuous probability models and relationships between them. Exploration of conditioning and conditional expectation. Markov chains. Random walks. Continuous time processes. Poisson process. Markov processes. Gaussian processes. Prerequisite: STAT 285 and MATH 251 or consent of instructor. Quantitative.
STAT 390-3 Selected Topics in Probability and Statistics
Topics in areas of probability and statistics not covered in the regular undergraduate curriculum of the department. Prerequisite: dependent on the topic covered.
STAT 400-3 Data Analysis
A problem-based course emphasizing the exploratory aspects of statistical analysis with emphasis on modern computer-oriented methods. Prerequisite: STAT 350. Quantitative.
STAT 402-3 Generalized Linear and Nonlinear Modelling
A skills oriented unified approach to a broad array of non-linear regression modelling methods including classical regression, logistic regression, probit analysis, dilution assay, frequency count analysis, ordinal-type responses, and survival data. Prerequisite: STAT 350. Quantitative.
STAT 403-3 Intermediate Sampling and Experimental Design
A practical introduction to useful sampling techniques and intermediate level experimental designs. Prerequisite: STAT 302 or 350. Students with credit for STAT 410 or 430 may not take STAT 403 for further credit. Statistics minor, major and honors students may not use this course to satisfy the required number of elective units of upper division Statistics. However, they may include the course to satisfy the total number of required units of upper division credit. Intended to be particularly accessible to students who are not specializing in Statistics. Quantitative.
STAT 410-3 Statistical Analysis of Sample Surveys
An introduction to the major sample survey designs and their mathematical justification. Associated statistical analyses. Prerequisite: STAT 350. Quantitative.
STAT 430-3 Statistical Design and Analysis of Experiments
An extension of the designs discussed in STAT 350 to include more than one blocking variable, incomplete block designs, fractional factorial designs, and response surface methods. Prerequisite: STAT 350 (or MATH 372). Quantitative.
STAT 436-3 Job Practicum III
This is the third term of work experience in a co-operative education program available to statistics students. Units from this course do not count towards the units required for an 間眅埶AV degree. Prerequisite: STAT 337 or Job Practicum II from another department. Students must apply and receive permission from the co-op co-ordinator at least one term in advance. The course will be graded on a pass/withdraw basis. A course fee is required.
STAT 437-3 Job Practicum IV
This is the fourth term of work experience in a co-operative education program available to statistics students. Units from this course do not count towards the units required for an 間眅埶AV degree. Prerequisite: STAT 436 or Job Practicum III from another department. Students must apply and receive permission from the co-op co-ordinator at least one term in advance. The course will be graded on a pass-withdraw basis. A course fee is required.
STAT 438-3 Job Practicum V
This is an optional fifth term of work experience in a co-operative education program available to statistics students. Units from this course do not count towards the units required for an 間眅埶AV degree. Prerequisite: STAT 437 or Job Practicum IV from another department. Students must apply and receive permission from the co-op co-ordinator at least one term in advance. The course will be graded on a pass/withdraw basis. A course fee is required.
STAT 450-3 Statistical Theory
Distribution theory, methods for constructing tests, estimators, and confidence intervals with special attention to likelihood methods. Properties of the procedures including large sample theory. Prerequisite: STAT 330. Quantitative.
STAT 460-3 Bayesian Statistics
The Bayesian approach to statistics is an alternative and increasingly popular way of quantifying uncertainty in the presence of data. This course considers comparative statistical inference, prior distributions, Bayesian computation, and applications. Prerequisite: STAT 330 and 350. Quantitative.
STAT 490-3 Selected Topics in Probability and Statistics
Topics in areas of probability and statistics not covered in the regular undergraduate curriculum of the department. Prerequisite: dependent on the topic covered.
STAT 495-3 Directed Studies in Probability and Statistics
Independent reading or research on consultation with the supervising instructor. Prerequisite: written permission of the department undergraduate studies committee.
STAT 602-3 Generalized Linear and Nonlinear Modeling
A methods oriented unified approach to a broad array of nonlinear regression modelling methods including classical regression, logistic regression, probit analysis, dilution assay, frequency count analysis, ordinal type responses, and survival data. A project will be assigned related to the student's field of study. Prerequisite: STAT 302 or 350 or permission of instructor. Open only to graduate students in departments other than Statistics and Actuarial Science.
STAT 650-5 Quantitative Analysis in Resource Management and Field Biology
The use of statistical techniques and mathematical models in resource management with special emphasis on experimentation, survey techniques, and statistical model construction. Prerequisite: A course in parametric and non-parametric statistics. This course may not be used for the satisfaction of degree requirements in the Department of Statistics and Actuarial Science.
STAT 801-4 Statistics
Advanced mathematical statistics. A survey of basic concepts in point estimation, interval estimation and hypothesis testing. Principles of inference.
STAT 802-4 Multivariate Analysis
An advanced course in multivariate analysis. Factor analysis, discriminant analysis, principal components, canonical correlations. Multivariate regression and analysis of variance.
STAT 804-4 Time Series Analysis
An introduction to time series models and their analysis. Both time-domain and frequency-domain techniques will be studied. Prerequisite: STAT 450 or equivalent or permission of the instructor.
STAT 805-4 Non-Parametric Statistics and Discrete Data Analysis
Order statistics, rank statistics, procedures based on the empirical distribution function. Asymptotic efficiencies, goodness-of-fit, contingency tables, log-linear models and further topics will be offered. Prerequisite: STAT 330 or equivalent or permission of the instructor.
STAT 806-4 Lifetime Data Analysis
Statistical methodology used in analysing failure time data. Likelihoods under various censoring patterns. Inference using parametric regression models including the exponential, Weibull, lognormal, generalized gamma distributions. Goodness-of-fit tests. The proportional hazards family, and inference under the proportional hazards model. Stratification and blocking in proportional hazards models. Time dependent covariates. Regression methods for grouped data. Prerequisite: STAT 450.
STAT 811-2 Statistical Consulting I
This course is designed to give students some practical experience as a statistical consultant through classroom discussion of issues in consulting and participation in the department's Statistical Consulting Service under the direction of faculty members or the director.
STAT 812-2 Statistical Consulting II
Students will participate in the department's Statistical Consulting Service under the direction of faculty members or the director.
STAT 870-4 Applied Probability Models
Application of stochastic processes: queues, inventories, counters, etc. Reliability and life testing. Point processes. Simulation.
STAT 880-0 Practicum I
First term of work experience in the Co-operative Education Program.
STAT 881-0 Practicum II
Second term of work experience in the Co-operative Education Program.
STAT 882-0 Practicum III
Third term of work experience in the Co-operative Education Program.
STAT 883-0 Practicum IV
Fourth term of work experience in the Co-operative Education Program.
STAT 890-4 Statistics: Selected Topics
STAT 891-2 Seminar
A course to be team taught by current and visiting faculty and with topics chosen to match the interests of the students.