Question

if we accept false null hypothesis based on sample, then it is called?
A. Type-1 error
B. Type-2 error
C. Sampling error
D. None​

Answer 1

Answer:

A type II error is a statistical term referring to the acceptance (non-rejection) of a false null hypothesis. It is used within the context of hypothesis testing. A type II error produces a false negative, also known as an error of omission.

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