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Course Description

Sampling probability distributions ( t-student, Chi-squared and F-Fisher distribution). Point estimation. Maximum Likelihood estimation. Estimation by confidence intervals. Hypothesis testing. ANOVA one- and two-way. Simple linear regression models; multiple regression analysis including variable selection techniques; regression diagnostics. Non-linear regression. Goodness of fit test. A statistics computer package will be used in this course.

Requisites

Prerequisite: CMTH 304 or CMTH 380
Antirequisite: CMTH 480
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Thank you for your interest in this course. Unfortunately, it is not scheduled for the Spring 2020 term.

Please browse our courses available this term.