In hypothesis testing,uncertainty is reflected in Type I but not Type II error.

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Uncertainty is reflected in both Type I and Type II errors. Type I error is when we reject a true null hypothesis, and Type II error is when we fail to reject a false null hypothesis. In both cases, there is a potential for making an incorrect decision due to uncertainty, which is why it is important to consider both types of errors in hypothesis testing.

In Hypothesis Testing,uncertainty Is Reflected in Type I but Not