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Restrictions on credit for introductory statistics courses. Students with credit for STAT 103 are eligible to subsequently take STAT 241, 244, 245 or 246 for credit. Students may NOT take STAT 103 for credit either concurrently with or following STAT 241, 245, 246 or ECON 204. Students may take both STAT 103 and STAT 244 regardless of order completed. Students are not permitted to take more than one of STAT 242, 244, 245 or 246 for credit. Students may take STAT 241 for credit before, concurrently with, or after any one of STAT 244, 245 or 246.
Students with credit for an introductory statistics course offered by another department or college should consult the Statistics Course Regulations in the Arts & Science section of the Calendar and check with that academic unit for any other restrictions.
STAT 103, 241 and 341 are courses in probability. All other courses carrying the STAT abbreviation are courses in statistics.
UNDERGRADUATE DEGREE COURSES
STAT 103.3
Elementary Probability
1/2(3L)
Prerequisite(s): Mathematics B30 (or Algebra 30).
An elementary introduction to the concepts of probability, including: sets, Venn diagrams, definition of probability, algebra of probabilities, counting principles, some discrete random variables and their distributions, graphical displays, expected values, the normal distribution, the Central Limit Theorem, applications, some statistical concepts.
Note: This is a course in probability; students wishing an introduction to statistics should take STAT 244, 245 or 246. May not be included in the courses comprising a major or honours in either mathematics or statistics. Students with credit for MATH 102.6 may not take this course for credit. Students may receive credit for both STAT 103 and 241, 245 or 246, provided STAT 103 is taken and successfully completed first. Students may not receive credit for STAT 103 if ECON 204 has already been completed. Students taking ECON 204 subsequent to STAT 103 will receive only 3 credits for the ECON course. May not be used in Requirement 1 of Program Type C.
STAT 241.3
Probability Theory
1/2(3L-1P)
Prerequisite(s): MATH 110 and 116.
Laws of probability, discrete and continuous random variables and their distributions, moments, functions of random variables and their distributions, Central Limit Theorem.
STAT 242.3
Statistical Theory and Methodology
2(3L-1P)
Prerequisite(s): MATH 110 and 116, and STAT 241.
Sampling theory, estimation, confidence intervals, testing hypotheses, goodness of fit, analysis of variance, regression and correlation.
Note: Not permitted to take more than one of STAT 242, 244, 245, 246 or other introductory statistics courses for credit. See Statistics Course Regulations in the Arts & Science section of the Calendar.
STAT 244.3
Elementary Statistical Concepts
1/2(3L-1P)
Prerequisite(s): A course in a social science (or Mathematics A30).
Statistical concepts and techniques including graphing of distributions, measures of location and variability, measures of association, regression, probability, confidence intervals, hypothesis testing. Students should consult with their department before enrolling in this course to determine the status of this course in their program.
Note: For students in the Social Sciences, Education or Nursing. May not be included in the courses comprising a major or honours in either mathematics or statistics. Students are not permitted to take more than one of STAT 242, 244, 245, 246 or other introductory statistics courses for credit. See Statistics Course Regulations in the Arts & Science section of the Calendar.
STAT 245.3
Introduction to Statistical Methods
1/2(3L-1P)
Prerequisite(s): MATH 100, 101, 102, 110 or STAT 103.
An introduction to basic statistical methods including frequency distributions, elementary probability, confidence intervals and tests of significance, analysis of variance, regression and correlation, contingency tables, goodness of fit.
Note: May not be included in the courses comprising a major or honours in either mathematics or statistics. Students are not permitted to take more than one of STAT 242, 244, 245, 246 or other introductory statistics courses for credit. See Statistics Course Regulations in the Arts & Science section of the Calendar.
STAT 246.3
Introduction to Biostatistics
1/2(3L-2P)
Prerequisite(s): MATH B30 and BIOL 110.6 or permission of the Department. One of MATH 101.3, 110.3 or STAT 103.3 recommended but not essential.
An introduction to statistical techniques with emphasis on methods particularly applicable to biological and health sciences. Topics include: descriptive statistics, estimation and hypothesis testing, linear and logistic regression, contingency tables, life tables, and experimental design. Computerized data analysis will be an essential component of the labs.
Note: May not be included in the courses comprising a major or honours in mathematics or statistics. Not permitted to take more than one of STAT 242, 244, 245, 246 or other introductory statistics courses for credit. See Statistics Course Regulations in the Arts & Science section of the Calendar.
STAT 341.3
Probability and Stochastic Processes
1/2(3L-1P)
Prerequisite(s): STAT 241.
Random variables and their distributions; independence; moments and moment generating functions; conditional probability; Markov chains; stationary time-series.
STAT 342.3
Mathematical Statistics
1(3L-1P)
Prerequisite(s): MATH 225 or 276; STAT 241 and 242.
Probability spaces; conditional probability and independence; discrete and continuous random variables; standard probability models; expectations; moment generating functions; sums and functions of random variables; sampling distributions; asymptotic distributions. Deals with basic probability concepts at a moderately rigorous level.
Note: Students with credit for STAT 340 may not take this course for credit.
STAT 344.3
Applied Regression Analysis
1/2(3L-1P)
Prerequisite(s): STAT 242 or 245 or 246 or a comparable course in statistics.
Applied regression analysis involving the extensive use of computer software. Includes: linear regression; multiple regression; stepwise methods; residual analysis; robustness considerations; multicollinearity; biased procedures; non-linear regression.
Note: Students with credit for ECON 404 may not take this course for credit. Students with credit for STAT 344 will receive only half credit for ECON 404.
STAT 345.3
Design and Analysis of Experiments
1/2(3L-1P)
Prerequisite(s): STAT 242 or 245 or 246 or a comparable course in statistics.
An introduction to the principles of experimental design and analysis of variance. Includes: randomization, blocking, factorial experiments, confounding, random effects, analysis of covariance. Emphasis will be on fundamental principles and data analysis techniques rather than on mathematical theory.