Hypothesis Tests for Variances and Proportions in Six Sigma
Overview/Description Target Audience Expected Duration Lesson Objectives Course Number Overview/Description
As a Six Sigma project moves into the Analyze phase, team members identify possible sources of variation, underlying root causes, and areas for improvement. It is here where assumptions or hypotheses about a process, product, or service are made and validated using tests based on sample data. This course will familiarize you with some of the advanced hypothesis tests used in Six Sigma, such as test for proportions, variances, and analysis of variance (ANOVA). You will learn how to use Paired-comparison t-test and chi-square tests for validating hypotheses. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level