what is error and significance
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Rejecting the null hypothesis when it is in fact true is called a Type I error. ... When a hypothesis test results in a p-value that is less than the significance level, the result of the hypothesis test is called statistically significant. Common mistake: Confusing statistical significance and practical significance.
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Rejecting the null hypothesis when it is in fact true is called a type 1 error
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