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MTH 404

Statistics

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.
Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

(MTH 304 or MTH 380) and (CPS 118 or CPS 106 or CPS 109)

Co-Requisites

None

Antirequisites

MTH 410 and MTH 480

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.