If the null hypothesis is in reality false, but the sample data leads the analyst to fail to reject the null, then the analysts has made a Type II error.

Name: If the null hypothesis is in reality false, but the sample data leads the analyst to fail to reject the null, then the analysts has made a Type II error.
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A Type II error occurs when the null hypothesis is false, but the data do not provide sufficient evidence to reject it, leading to a false negative conclusion.

If the Null Hypothesis Is in Reality False, but the Sample