Suppose we are interested in the mean of a normal RV X ~ N(μ, o2) with known o. The null hypothesis is Ho μ = μo and we test it against the alternative hypothesis H₁ : µ > µo at some significance level a, using the sample mean à as our test statistic.

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Exercise 6
Suppose we are interested in the mean µ of a normal RV X ~ N(μ, o2) with known
o. The null hypothesis is Ho μ = μo and we test it against the alternative hypothesis
H₁ μμo at some significance level a, using the sample mean as our test statistic.
:
µ
(i) If the null hypothesis is true, how often would the test reject the null hypothesis?
(ii) If the null hypothesis is not true, but instead μ = μ₁ for some μ₁ > μo, how often would
μι μι
the test reject the null hypothesis? Express your answer in terms of the standard
normal distribution. It will involve the significance level a, the sample size n, the
standard deviation o, and effect size ₁ o. (Hint: What is the rejection threshold
for this test? See also the end of lecture note on Fri. 3/3.)
-
(iii) Use the answer to part (ii) to show that if the alternative hypothesis is true, then the
probability of rejecting the null hypothesis converges to 1 as the sample size n goes to
infinity.
(iv) In lecture, we saw that the p-value p(X) as a RV is uniformly distributed under the
null hypothesis. Show that p(X) is not uniformly distributed under the alternative
hypothesis. More precisely, show that
P(p(X) ≤ α; μ = μ₁) > α
for any a € (0, 1) and any μ> ₁. Graphically, this means the CDF of p(X) when
µ > µo always lies above the CDF of a uniform distribution. (Hint: use part (ii) and
the equivalent formulation of the test using p-value as a statistic.)
Transcribed Image Text:Exercise 6 Suppose we are interested in the mean µ of a normal RV X ~ N(μ, o2) with known o. The null hypothesis is Ho μ = μo and we test it against the alternative hypothesis H₁ μμo at some significance level a, using the sample mean as our test statistic. : µ (i) If the null hypothesis is true, how often would the test reject the null hypothesis? (ii) If the null hypothesis is not true, but instead μ = μ₁ for some μ₁ > μo, how often would μι μι the test reject the null hypothesis? Express your answer in terms of the standard normal distribution. It will involve the significance level a, the sample size n, the standard deviation o, and effect size ₁ o. (Hint: What is the rejection threshold for this test? See also the end of lecture note on Fri. 3/3.) - (iii) Use the answer to part (ii) to show that if the alternative hypothesis is true, then the probability of rejecting the null hypothesis converges to 1 as the sample size n goes to infinity. (iv) In lecture, we saw that the p-value p(X) as a RV is uniformly distributed under the null hypothesis. Show that p(X) is not uniformly distributed under the alternative hypothesis. More precisely, show that P(p(X) ≤ α; μ = μ₁) > α for any a € (0, 1) and any μ> ₁. Graphically, this means the CDF of p(X) when µ > µo always lies above the CDF of a uniform distribution. (Hint: use part (ii) and the equivalent formulation of the test using p-value as a statistic.)
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