(b) The probability of a Type I error is associated with an area under the distribution of e assuming the null hypothesis to be true.
(c) It is always desirable to minimise the probability of a Type I error.
(d) A larger sample, ceteris paribus, will increase the power of a test.
(e) The significance level is the probability of a Type II error.
(f ) The confidence level is the probability of a Type II error.
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