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Above and Beyond

Summary: Hypothesis testing is a statistical analysis to determine whether observed differences between two or more data samples are due to random chance or are true differences. This article demonstrates that BBs should continue using hypothesis tests and looking at significant p-values of those tests. The author emphasizes that quality professionals also need to need to go one step further, however, and thoroughly investigate and determine the cause of that significance. In that way, they will provide solutions with real impact that could delight customers. The article explains principles of hypothesis testing, and gives detailed examples of how to interpret the test results and then apply them to actual situations to solve organizational problems.

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  • Topics: Statistics
  • Keywords: Hypothesis testing, Null hypothesis, Multiple hypothesis testing, Root cause analysis (RCA), Customer delight
  • Author: Sharma, Mohit
  • Journal: Six Sigma Forum Magazine