What is the consequence of rejecting the null hypothesis when, in fact, it is true?

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Rejecting the null hypothesis when it is actually true is known as committing a Type I error. This means that we have incorrectly concluded that there is a significant effect or difference when there is not, and we have made a false positive claim. The level of significance (alpha) that we choose for our hypothesis test determines the probability of making a Type I error.

What Is the Consequence of Rejecting the Null Hypothesis When