The level of significance of a test is usually given by a hypothesis test. In the simplest case it is defined as the probability of accepting or rejecting the null hypothesis. Decision is often made using the p value: if the p (p-value) value is less than the level of significance then the null hypothesis is rejected. The lower the p value, the more significant the result.
In more complex, but still very important, practical cases, the level of significance of a test is such a probability that the probability of making a decision to reject the null hypothesis when this is true is not greater than p. This allows you to use procedures where the probability of incorrectly rejecting the null hypothesis may be lower than that indicated, which is determined by the set of requirements for the applicability of a test. Voices correlateemodify wikitesto
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