The significance level is usually set at .05 as the criterion for making the decision to accept the research hypothesis.

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The significance level is typically set at .05, which means that there is a 5% chance of rejecting the null hypothesis when it is actually true. This level of significance is commonly used in research as it provides a balance between the risk of making a Type I error (rejecting the null hypothesis when it is true) and the risk of making a Type II error (failing to reject the null hypothesis when it is false).

The Significance Level Is Usually Set at