Question

A null hypothesis states that a process has not changed over time. If a type II error is made,

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. For example, a test for a disease may report a negative result, when the patient is, in fact, infected. This is a type II error because we accept the conclusion of the test as negative even though it is incorrect.