Statistics I (STAT*2040)

Code and section: STAT*2040*DE

Term: Summer

Details

This course focuses on the practical methods of Statistics and the topics include: descriptive statistics; univariate models such as binomial, Poisson, uniform and normal; the central limit theorem; expected value; the t, F and chi-square models; point and interval estimation; hypothesis testing methods up to two-sample data; simple regression and correlation; introduction to analysis of variance. Assignments will deal with real data from the natural sciences and involve the use of statistical software for computing and visualization.

Note: This course is offered via Distance Education (DE) only.

Syllabus

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PDF icon Course Outline (Summer 2021)277.31 KB
PDF icon Course Outline (Summer 2022)343.82 KB
PDF icon Course Outline (Summer 2023)290.09 KB

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