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Hypothesis Testing and its Applicability
The Analyse phase in Six Sigma closely examines the many process inputs identified in the Measure phase to determine if they are related to outputs, and if a relationship does exist, is it statistically significant. An important tool for this analysis is hypothesis testing. Hypothesis testing uses statistical analysis to determine if the observed relationship between two or more samples is real or due to random chance. A variety of tests are used to find statistical evidence to reject or "not to reject" a hypothesis. Once this is accomplished, the Six Sigma team is ready to move forward with identifying, testing, and implementing solutions to address the root causes of failure. This topic will explore the steps for testing hypotheses for one-sample t-tests, two-sample t-tests, tests of variances, tests of proportions, paired-comparison tests, single-factor ANOVA and chi-square test.
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