H0
False Positive(Type I Error ) contradicts Null Hypothesis while False Negative (Type II Error ) fails to reject Null Hypothesis. Statistical Power is defined as which is True Positive Rate.
Definition
Rejecting the null hypothesis does not mean proving the alternative hypothesis. Just as being not innocent does not mean being guilty of that specific crime.
It is a mechanism designed to avoid subjectivity, as it is much easier to prove something is not true than to prove it is true, using a hypothesis meant to be disproven that doesn't affect the paradigm. For example, when testing the difference between two sample means, we premise the assumption that the populations of the two sample groups are the same.
귀무가설 (새로울 게 없다는 어원)
