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

Attachment	Size
Course Outline (Summer 2021)	277.31 KB
Course Outline (Summer 2022)	343.82 KB
Course Outline (Summer 2023)	290.09 KB
Course Outline (Summer 2024)	216.43 KB