Course Description

89-204 Statistics I S,F,W(3-2)

A course stressing the practical methods of Statistics. Topics include: Descriptive Statistics; univariate models such as binomial, Poisson, geometric, uniform and normal; 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; ANOVA for CRD and RCBD. Assignments will deal with real data from the natural sciences.

Prerequisites: OAC calculus or equivalent.

Exclusions: 89-100, 89-206, 89-208, 89-210, 89-212.

Course Profile

1998-99 Undergraduate Calendar