Statistics I (STAT*2040)

Code and section: STAT*2040*DE

Term: Winter


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 Distance Education (DE) version of the course.

Click here for the in-class offering.