Suppose evidence is found to accept a null hypothesis. However, you ignore this evidence and reject the null hypothesis anyway. You have just made….
A. a correct decision
B. a new null hypothesis
C. a Type I Error
D. a Type II Error
Option C is the only correct option. The detailed solution is given below.
Here evidence is found to support null hypothesis but null hypothesis is rejected. So clearly this is not a correct decision. So option a is wrong.
For a particular testing problem null hypothesis is fixed so there is no question of getting a new null hypothesis. So option B is incorrect.
For a testing problem the error committed by rejecting the null hypothesis when it is actually true is called type-I error. Here this has happened so option C is correct.
Type-II error is accepting null hypothesis when it is wrong. But this is not the case here. Here null is correct but we are rejecting it . So option D is wrong.
Hope the solution helps. Thank you.
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