Duration
1 day
Overview
Continue to build on the fundamental concepts taught in the Manufacturing Statistical Quality Analysis course by learning additional tools for measuring quality levels when your data are skewed, have extreme outliers, are multimodal, or are clustered. Expand your knowledge of control charting by learning how to correctly identify special cause variation in the presence of nonnormal data. Develop the necessary skills to successfully use graphical methods and statistical tests for detecting nonnormal data and choosing an appropriate distribution or transformation for the analysis. Learn about the impact of poor measurement resolution and sample size on normality testing.
Topics covered in the training material include: Probability Plots, Tests for Normality, Capability Analysis for Non-normal Data, Box-Cox and Johnson transformations, Multiple Variables Capability Analysis, Tolerance Intervals, Individuals Control Charts, Multiple Failure Modes Analysis.
Prerequisite
Minitab Essentials and Statistical Quality Analysis
Outlines
Tests for Normality
Capability Analysis for Nonnormal Data
Box-Cox and Johnson Transformations
Multiple Variables
Capability Analysis
Tolerance Intervals
MFM Analysis
Programme scope, delivery arrangements and suitability are confirmed during enquiry.