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. A statistics computer package will be used in this course.

Requisites

Prerequisite: CMTH 304 or CMTH 380
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)