for a fixed sample size the lower reset a the higher is what
type I error
type II error
random error
p-value
For a fixed sample size, the lower we set α, the higher is the Type II error.
Setting the lower level of significance decreases chances of committing a type I error at an expense of type II error. Type I error refers to the probability of rejecting a true null hypothesis. It is equal to the level of significance (alpha level). Type II error (beta) is the probability of not rejecting the false null hypothesis. Decreasing the probability of rejecting the true null hypothesis increases probability of not rejecting the false null hypothesis.
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