Statistics I (STAT*2040)

Code and section: STAT*2040*01

Term: Winter

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: These are the course outlines for the in-class version of the course.

Click here for the Distance Education (DE) offering.

Syllabus

Attachment	Size
Course Outline (Winter 2016)	75.2 KB
Course Outline (Winter 2017)	153.16 KB
Course Outline (Winter 2018)	99.94 KB
Course Outline (Winter 2020)	149.28 KB