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If a hypothesis is testable, to be open up to the opportunity of going wrong. Statistically this opens up the possibility of having experimental glitches in the results get more because of random faults or other issues with the research.
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The t-examination assumes that the data is roughly Commonly dispersed and that the variance is equal (this can be tested with the F-take a look at).
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