Null hypothesis usually express the phenomenon of no effect or no difference.
TypeⅠerror is the incorrect rejection of a true null hypothesis.  That is, no difference is taken as difference.
Type Ⅱ error is incorrectly retaining a false null hypothesis. That is, difference is taken as no difference

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