MATH-4803 Analysis of Variance

School of Computing, Analytics, and Modeling Dr. Perry College of Mathematics, Computing, and Sciences

Description

This course involves a thorough examination of the analysis of variance statistical method including hypotheses tests, interval estimation, and multiple comparison techniques of both single-factor and two-factor models. Extensive use of a statistical computer package, Minitab, will be a necessary part of the course.

Requisites

Prerequisites: MATH 3203 or MATH 4203

Course Hours

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00