![]() ![]() This test compares a sample to a known population mean, historical mean, or targeted mean. There are a variety of other Six Sigma topics also available plus a 180+ practice certification questions to help you pass your exam. Hypothesis testing fluency is a important requirement for Green Belts and Black Belts to execute their project and pass a certification exam. pdf t-test module and over 1000 training slides and a practice exam to help prepare you as a Green Belt or Black Belt. Using tools such as Box Plot can provide a wealth of information.Īlso, if the confidence interval contains the value of zero then insufficient evidence exist to suggest their is a statistical difference between the null and alternative hypotheses and accept the null. You can get more information by adding more specific criteria to your test.īefore running a test, visualize your data to get a better understanding of the projected outcome of expected result. You can run statistical test in software usually be easily configuring the parameters to look for certain types of differences as were just mentioned.įor example, instead of just testing to see if one group mean is different than another, you can test to see if one group is a greater than the other and by a certain amount. The word different could be greater than, less than, or a certain value different than a target value. One mean from random sample is different than a target value, a known mean, or a historical mean. ![]() T-tests are very commonly used in Six Sigma for evaluating means (μ) of one or two populations. ![]()
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