Program Overview

MATH.5900 Statistical Quality Control

Description

Overview of quality and managing quality, Define Measure Analyze Improve Control (DMAIC), the six sigma approach to quality, visual representation of data, Pareto charts, histograms, process capability vs specification (process) limits, t-tests, ANOVA, and other statistical hypothesis testing in quality, normal probability plots, control charts, measurement system analysis, application of regression analysis to manufacturing and/or design, Minitab.

Prerequisites

• MATH.3850 Applied Statistics
• MATH.4860 Probability and Mathematical Statistics
• MATH.5880 Mathematical Statistics

Course Details

• Id:
• Credits: 3-3

Enrollment Requirements

Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.