"A statistical hypothesis test is a method of making decisions using data, whether from a controlled experiment or an observational study (not controlled). In statistics, a result is called statistically significant if it is unlikely to have occurred by chance alone, according to a predetermined threshold probability, the significance level. The phrase ""test of significance"" was coined by Ronald Fisher: ""Critical tests of this kind may be called tests of significance, and when such tests are available we may discover whether a second sample is or is not significantly different from the first. Hypothesis testing is sometimes called confirmatory data analysis, in contrast to exploratory data analysis. Source: http://in.docsity.com/en-docs/T_Distribution-Statistics-Solved_Quizes_"
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"A new record analyze supplies a process for producing quantitative choices of a physical process as well as functions. The purpose is to decide if there is certainly adequate grounds in order to ""reject"" a new rumours as well as possibility regarding the practice. This opinions is named the actual zero guess. Certainly not rejecting can be a beneficial resultant role to continue to represent in case we all ""consider"" the particular void possibility does work. Or it might be any frustrating outcome, perhaps implying organic meat not yet have sufficient data for you to ""verify"" something aside rejecting your null guess. "
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