![]() ![]() The population distribution is a normal distribution.The sample is randomly selected from the population under investigation.For this test there are two assumptions involved: AssumptionsĪ good practice when applying any statistical application is to consider the related assumptions. It is a useful hypothesis test and applies in many situations as we rarely know the population variance. This test is often the second one in a textbook that describes hypothesis testing. In this case, you do not know the actual variance of the population, you just have a sample. In the situation where you have a sample and would like to know if the population represented by the sample has a mean different than some specification, then this is the test for you. 5-day Reliability Black Belt ® Live Course.5-day Reliability Green Belt ® Live Course.Root Cause Analysis and the 8D Corrective Action Process course.Reliability Analysis Methods online course.14 Ways to Acquire Reliability Engineering Knowledge.Reliability Engineering Management DRAFT. ![]() Innovative Thinking in Reliability and Durability.Equipment Risk and Reliability in Downhole Applications.Musings on Reliability and Maintenance Topics.Metals Engineering and Product Reliability.Product Development and Process Improvement.Rooted in Reliability: The Plant Performance Podcast. ![]()
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