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Nov 18, 2024
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STAT 2P98 - Applied Statistics
Single-factor and factorial experimental design methods; nested-factorial experiments. Simple and multiple linear regression methods, correlation analysis, indicator regression; regression model building and transformations. Contingency tables, binomial tests, nonparametric rank tests. Simple random and stratified sampling techniques, estimation of sample size and related topics. Use of SAS, Maple or other statistical packages.
Course Format: Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT 1F92 (MATH) or STAT 1P98
Course Notes: Major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Exclusions: Completion of this course will replace previously assigned grade and credit obtained in MATH 2P98.
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