True or false:

a The significance level of a statistical test is equal to the probability that the null hypothesis is true.

b If the significance level of a test is decreased, the power would be expected to increase.

c If a test is rejected at the significance level a, the probability that the null hypothesis is true equals a.

d The probability that the null hypothesis is falsely rejected is equal to the power of the test.

e A type I error occurs when the test statistic falls in the rejection region of the test.

f A type II error is more serious than a type I error.

g The power of a test is determined by the null distribution of the test statistic.

h The likelihood ratio is a random variable.

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