alternative hypothesis


In statistical testing, an alternative hypothesis (H1) is a statement describing the possibility that an observed result or effect is genuine. The alternative hypothesis is always compared to a null hypothesis (H0), and H1 is not accepted until statistical testing shows that it should be accepted in favor of H0. For example, in an evaluation of data regarding the pain relieving properties of a new drug, the alternative hypothesis would state that the new drug has an effect on pain relief compared to a control. Accepting H1 does not indicate that the observed result or effect is large or important, simply that it is favored in terms of probability of the outcome.

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