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.