One sample to population T tests
One-Sample Significant Difference Tests
A great deal of inferential statistics is about using procedures to help us infer that a difference does or does not exist between two situations. Knowing whether two things are different allows us to make reliable, valid decisions about that information. How different does a result need to be before we can call it significant (or important)? Another way to ask this question is to ask "how great must the difference between two groups be before we can conclude that the difference is reliable and real, and no…
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