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.


Prerequisite: CMTH 304 or CMTH 380
Antirequisite: CMTH 480

Thank you for your interest in this course. Unfortunately, this course currently isn't available.

Please browse our courses for more options or check back later for updated scheduling.