The alpha level, or level of significance, (0.05, e.g.) may be viewed as the researcher's acceptable level of
(a)Type III error
(b) Type II error
(c) Type I error
we know that the value of significance level is also known as the probability of making a type I error.
type I error is a special case where we reject the null hypothesis Ho, even when it is true.
so, alpha level or level of significance may be viewed as the researcher's acceptable level of type I error
option C
type II error is probability of accepting a false null hypothessis. So, it is incorrect option
there is no term like type III, so it is also incorrect
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