Id: 008462 Credits Min: 3 Credits Max: 3

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, or MATH.4860 Probability and Mathematical Statistics, or MATH.5880 Mathematical Statistics.

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