Measurement error is unavoidable. There will always be some measurement variation due to the measurement system itself. Most problematic measurement system issues occour when measuring attribute data by relying on human judgment such as good/bad, pass/fail. Attribute Gage R&R helps to find and reduce these errors.…

Rejecting a null hypothesis when it is false is what every good hypothesis test should do. The “power of the test” is the measure of how good a test is.…