Normality

Anomoly In Normality
The importance of selecting the right measurement scale. If your process has very low variation, it is preferable to consider the total variation for selecting the least count for the measuring instrument. From S. Hemanth and iSixSigma.

Handling Non-Normal Data
Most processes are not normally distributed. Most Six Sigma tools, however, assume normality. Choose the right tool for your next process analysis. From Shree Padnis and iSixSigma.

Non-Normal Distributions in the Real World
A real world manufacturing (zinc plating) example and best practice sharing from a process capability analysis. From Thomas Pyzdek.

Normal Probability Plots and Tests for Normality
Normal probability plots and testing for process normality. From Thomas A. Ryan, Jr., Brian L. Joiner and Minitab.

Normality Plots
Normality plots provide another tool for assessing whether the shape of a distribution is normal. Here's an overview. From CU Colorado Springs.

Normality Test Plot
Also called normal probability plots or normal quartile plots, they are used to determine if process data exhibits the standard normal 'bell curve' or Gaussian distribution. Here are the things to look for and some basic related statistics. From Skymark.

Six Sigma Special Topics: Z Shift, Statistics & Non-Standard Data Analysis
Understanding z shifts, how it applies to your data (which may not be standard), and how to explain it to non-Six Sigma quality professionals. (PDF file: 2.9MB). From C.L. Stanard and GE CRD.

Table of the Standard Normal (z) Distribution
A table of the Standard Normal (z) Distribution for calculating the area under a normal distribution and the critical value. From iSixSigma.

Tips On How To Explain Normal Distribution
Tips and various examples on understanding and expaining a normal distribution. From iSixSigma.

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