What type of error occurs if you fail to reject (aka "accept") H0 when, in fact, it is not true?
Question 1 options:
For a given sample size in hypothesis testing,
Question 2 options:
when we fail to reject the null hypothesis, when in fact it is not true, then this is called as type II error. Type error is defined as failing to reject the false or incorrect null hypothesis.
So, answer is type II error
We know that type I and type II error for the given sample size in hypothesis testing varies inversely, i.e. when type I error decreases, type II error increases or when type I error increases, type II error decreases.
So, option B is correct answer
the smaller the Type I error, the larger the Type II error will be.
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