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. It is not scheduled for the current academic year.

Use our Course Search to find courses that are offered this year.