5. A test of Ho: 10 vs. Ha: < 10 is conducted based on a random sample of 15 observations. Assume that the conditions for inference have been met. What does it mean to use a significance level of α = 0.05 for the test? (A) The test procedure would result in an incorrect decision for 5% of all possible random samples of 15. (B) If <10, the test procedure would result in a correct decision for 5% of all possible random samples of 15. (C) If μ < 10, the test procedure would result in an incorrect decision for 5% of all possible random samples of 15. (D) If μ = 10, the test procedure would result in a correct decision for 5% of all possible random samples of 15. (E) If µ = 10, the test procedure would result in an incorrect decision for 5% of all possible random samples of 15.

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5. A test of Ho: 10 vs. Ha: < 10 is conducted based on a random sample of 15 observations.
Assume that the conditions for inference have been met. What does it mean to use a significance
level of α = 0.05 for the test?
(A) The test procedure would result in an incorrect decision for 5% of all possible random samples
of 15.
(B) If <10, the test procedure would result in a correct decision for 5% of all possible random
samples of 15.
(C) If μ < 10, the test procedure would result in an incorrect decision for 5% of all possible random
samples of 15.
(D) If μ = 10, the test procedure would result in a correct decision for 5% of all possible random
samples of 15.
(E) If µ = 10, the test procedure would result in an incorrect decision for 5% of all possible random
samples of 15.
Transcribed Image Text:5. A test of Ho: 10 vs. Ha: < 10 is conducted based on a random sample of 15 observations. Assume that the conditions for inference have been met. What does it mean to use a significance level of α = 0.05 for the test? (A) The test procedure would result in an incorrect decision for 5% of all possible random samples of 15. (B) If <10, the test procedure would result in a correct decision for 5% of all possible random samples of 15. (C) If μ < 10, the test procedure would result in an incorrect decision for 5% of all possible random samples of 15. (D) If μ = 10, the test procedure would result in a correct decision for 5% of all possible random samples of 15. (E) If µ = 10, the test procedure would result in an incorrect decision for 5% of all possible random samples of 15.
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