
A common tool for comparing if two populations are the same is the “student t-test.” This is often used in reliability, and science, if we want to investigate if a factor has caused a change in a respnse.
A population was assembled in location “A”. Another population was assembled in location “B”. Population “A” has an average defect rate of 4%. Population “B” has an average defect rate of 5.5%. Does the location of assembly affect defect rate? That’s just a big argument unless we can project the statistical likelihood that what we have measured is not just an overlap of noise. [Read more…]
Nothing is worse than being in a meeting that completely wastes your time. Hopefully those meetings have been eliminated as part of the steps to making you, the maintenance professional, more effective. For the meetings that you could not eliminate, the meetings need to be effective, reducing wasted time and delivering benefits to the business.










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