CMTH 404 - Statistics

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. Computer programming is an essential part of this course. Students will understand the concepts of this course both theoretically and through the use of computers.

Requisites

Prerequisite: (CMTH 304 or CMTH 380) and (CPS 118 or CPS 106 or CCPS 109)
Antirequisite: MTH 410 and CMTH 480

Relevant Programs

Applied Analytics and Statistics for 21st Century Decision-Making : Required Courses (Option 1)
Financial Predictive Data Analytics : Electives (select 2)
Professional Healthcare Careers Foundations : Required Courses (select 3)
Science, Technology, Engineering, and Mathematics (STEM) : Electives (select 2)