Tools

Add-Study-Guides.jpg

Read the whole story in our process excellence books

Learn More with our Online Courses

Use Software for your Six Sigma & SPC charts

Get Certified by author Six Sigma Handbook

Intervals & Tests

Confidence Intervals

Hypothesis Testing

Hypothesis Test Of Sample Mean Example

Hypothesis Test Of Two Sample Variances Example

Hypothesis Test Of A Standard Deviation Compared To A Standard Value Example

Resampling (Bootstrapping)

Tolerance intervals

Distributions

Distributions

Properties of Distributions

Level of Significance

Producer risk

Consumer risk

Normal Distributions

Area Under the Standard Normal Curve

Central limit theorem

Johnson Distributions

Curve Fitting

Non-Normal Distributions in the Real World

Weibull Distribution

Folded-Normal Distribution

Rayleigh Distribution for True Position

F Distribution

Critical Values of the t Distribution

Chi-Square Distribution

Index

Normal Distribution

Although the distribution of choice for a number of control charts using plotted averages, and the most widely known distribution, it is not generally seen in practice as the distribution of observations. To fit a normal distribution, only the average and specified sigma (process, sample, or population) are needed. Note that the curve generated will be used for K-S values and process capability, but that process sigma is always used to define the distribution limits on the Individual-X chart.


Learn more about the Statistical Inference tools for understanding statistics in Six Sigma Demystified (2011, McGraw-Hill) by Paul Keller, in his online Intro. to Statistics short course (only $89) or his online Black Belt certification training course ($875).