A type II error is made by failing to reject a false null hypothesis. The level

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A type II error is made by failing to reject a false null hypothesis. The level of significance of a test is the probability of making a type I error, given that the null hypothesis is true. For tests of hypotheses about mu, beta decreases as the sample size increases if the level of significance stays the same. All other things being equal, choosing a smaller value of a will increase the probability of making a type II error. Small P-values indicate that the observed sample is inconsistent with the null hypothesis. It is customary to say that the result of a hypothesis test is statistically significant when the P-value is smaller than alpha.

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Answer:-

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