Overview/Description
Whether calculating future process capability or the length of time before product failure, probability distributions are essential to the Six Sigma® Black Belt. Distributions and their random variables are the key to determining supportable conclusions for hypothesis tests and confidence intervals. This course discusses the general use of probability distributions, and reviews the applications of normal and nonnormal distributions. The course also details the benefits and teaches the steps of the Student's T-test Distribution and the F-Distribution.
Six Sigma is a registered Trademark of Motorola Corporation, and all right, title and interest in Six Sigma belongs to Motorola.
Target Audience
candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project