Use the following situation to answer questions Vitamin D helps the body absorb calcium and keep bones strong. Human bodies naturally product vitamin D when we are exposed to sunlight. In Alaska, where people have to take supplements for vitamin D due to lack of constant sunshine, a researcher suspects that people who live in Alaska are still vitamin deficient. Normal vitamin D levels in the blood are 20 ng/ml (nanograms per milliliter). 4) The researcher wants to take an SRS of Alaskans and measure the amount of vitamin D in their blood. She suspects a deficiency in the population. Which of the following would be appropriate null and alternative hypotheses? (A) Ho:μ = 20 Hy: a < 20 (B) Ho: <20 HA: = 20 (C) Ho: <20 HA:H>20 (D) Ho: * = 20 HA: > 20 (E) Ho:# <20 HAM = 20 5) A one-sample t-test for a mean at the 010 will be conducted for the

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Use the following situation to answer questions 4 - 7: Vitamin D helps the body absorb calcium and keep bones strong. Human bodies naturally product vitamin D when we are exposed to sunlight . In Alaska, where people have to take supplements for vitamin D due to lack of constant sunshine, a researcher suspects that people who live in Alaska are still vitamin deficient. Normal vitamin D levels in the blood are 20 ng/ml (nanograms per milliliter). 4) The researcher wants to take an SRS of Alaskans and measure the amount of vitamin D in their blood. She suspects a deficiency in the population. Which of the following would be appropriate null and alternative hypotheses? (A) H:1 = 20 HA: <20 (B) Ho:X<20 HA: = 20 (C) Ho: μ< 20 HA: > 20 (D) H:1 = 20 H:1 > 20 (E) Ho: < 20 HAM = 20 5) A one-sample t-test for a mean at the significance level of a = 0.10 will be conducted for the hypotheses you chose above. For which of the following is the probability of a Type II error the greatest? (A) A sample size of 50 and a true mean value of 15 (B) A sample size of 50 and a true mean value of 18 (C) A sample size of 100 and a true mean value of 15 (D) A sample size of 100 and a true mean value of 18 (E) A sample size of 150 and a true mean value of 18 6) All the conditions for inference were met and the p-value was determined to be 0.08. What is the correct interpretation of p-value? (A) The probability that we get a sample with a mean vitamin D level of ã ng/ml or more extreme when the true mean vitamin D levels in the population are 20 ng/ml is 0.08. (B) The probability that when the significance test is repeated many times, we will be able to reject the null hypothesis that the vitamin D levels in the Alaskan population is 20 ng/ml is 0.08. (C) The probability that we get exactly a mean vitamin D level of & ng/ml when the true mean vitamin D levels in the population are 20 ng/mlis 0.08. (D) The probability of making a Type II error is 0.08. (E) The proportion of significance tests that will correctly reject the null hypothesis of the mean vitamin D levels in the population being equal to 20 ng/ml is 0.08. 7) All the conditions for inference were met and the p-value was determined to be 0.08. Which of the following is the correct conclusions at the 10% significance level? (A) Because our p-value of 0.08 is greater than our significance level, we can reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (B) Because our p-value of 0.08 is greater than our significance level, we fail to reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (C) Because our p-value of 0.08 is less than our significance level, we can reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (D) Because our p-value of 0.08 is less than our significance level, we fail to reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (E) None of the above gives the correct conclusion about the significance test.

6) All the conditions for inference were met and the p-value was determined to be 0.08. What is the
correct interpretation of p-value?
(A) The probability that we get a sample with a mean vitamin D level of x ng/ml or more extreme when the true
mean vitamin D levels in the population are 20 ng/ml is 0.08.
(B) The probability that when the significance test is repeated many times, we will be able to reject the null
hypothesis that the vitamin D levels in the Alaskan population is 20 ng/ml is 0.08.
(C) The probability that we get exactly a mean vitamin D level of ng/ml when the true mean vitamin D levels in
the population are 20 ng/ml is 0.08.
(D) The probability of making a Type II error is 0.08.
(E) The proportion of significance tests that will correctly reject the null hypothesis of the mean vitamin D levels in
the population being equal to 20 ng/ml is 0.08.
7) All the conditions for inference were met and the p-value was determined to be 0.08. Which of the
following is the correct conclusions at the 10% significance level?
(A) Because our p-value of 0.08 is greater than our significance level, we can reject Ho. We have convincing
evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml.
(B) Because our p-value of 0.08 is greater than our significance level, we fail to reject Ho. We have convincing
evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml.
(C) Because our p-value of 0.08 is less than our significance level, we can reject Ho. We have convincing evidence
that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml.
(D) Because our p-value of 0.08 is less than our significance level, we fail to reject Ho. We have convincing
evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml.
(E) None of the above gives the correct conclusion about the significance test.
Transcribed Image Text:6) All the conditions for inference were met and the p-value was determined to be 0.08. What is the correct interpretation of p-value? (A) The probability that we get a sample with a mean vitamin D level of x ng/ml or more extreme when the true mean vitamin D levels in the population are 20 ng/ml is 0.08. (B) The probability that when the significance test is repeated many times, we will be able to reject the null hypothesis that the vitamin D levels in the Alaskan population is 20 ng/ml is 0.08. (C) The probability that we get exactly a mean vitamin D level of ng/ml when the true mean vitamin D levels in the population are 20 ng/ml is 0.08. (D) The probability of making a Type II error is 0.08. (E) The proportion of significance tests that will correctly reject the null hypothesis of the mean vitamin D levels in the population being equal to 20 ng/ml is 0.08. 7) All the conditions for inference were met and the p-value was determined to be 0.08. Which of the following is the correct conclusions at the 10% significance level? (A) Because our p-value of 0.08 is greater than our significance level, we can reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (B) Because our p-value of 0.08 is greater than our significance level, we fail to reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (C) Because our p-value of 0.08 is less than our significance level, we can reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (D) Because our p-value of 0.08 is less than our significance level, we fail to reject Ho. We have convincing evidence that the mean vitamin D levels in the Alaskan population is less than 20 ng/ml. (E) None of the above gives the correct conclusion about the significance test.
Use the following situation to answer questions 4-7:
Vitamin D helps the body absorb calcium and keep bones strong. Human bodies naturally product vitamin D
when we are exposed to sunlight. In Alaska, where people have to take supplements for vitamin D due to lack
of constant sunshine, a researcher suspects that people who live in Alaska are still vitamin deficient. Normal
vitamin D levels in the blood are 20 ng/ml (nanograms per milliliter).
4) The researcher wants to take an SRS of Alaskans and measure the amount of vitamin D in their
blood. She suspects a deficiency in the population. Which of the following would be appropriate null and
alternative hypotheses?
(A) Ho:μ = 20
HA:H <20
(B)
Ho: x < 20
HA: * = 20
(C) Ho:μ< 20
Ηλ: μ > 20
(D) Ho: * = 20
HA: 2 > 20
(E) Ho: <20
HA: H = 20
5) A one-sample t-test for a mean at the significance level of a = 0.10 will be conducted for the
hypotheses you chose above. For which of the following is the probability of a Type II error the greatest?
(A) A sample size of 50 and a true mean value of 15
(B) A sample size of 50 and a true mean value of 18
(C) A sample size of 100 and a true mean value of 15
(D) A sample size of 100 and a true mean value of 18
(E) A sample size of 150 and a true mean value of 18
Transcribed Image Text:Use the following situation to answer questions 4-7: Vitamin D helps the body absorb calcium and keep bones strong. Human bodies naturally product vitamin D when we are exposed to sunlight. In Alaska, where people have to take supplements for vitamin D due to lack of constant sunshine, a researcher suspects that people who live in Alaska are still vitamin deficient. Normal vitamin D levels in the blood are 20 ng/ml (nanograms per milliliter). 4) The researcher wants to take an SRS of Alaskans and measure the amount of vitamin D in their blood. She suspects a deficiency in the population. Which of the following would be appropriate null and alternative hypotheses? (A) Ho:μ = 20 HA:H <20 (B) Ho: x < 20 HA: * = 20 (C) Ho:μ< 20 Ηλ: μ > 20 (D) Ho: * = 20 HA: 2 > 20 (E) Ho: <20 HA: H = 20 5) A one-sample t-test for a mean at the significance level of a = 0.10 will be conducted for the hypotheses you chose above. For which of the following is the probability of a Type II error the greatest? (A) A sample size of 50 and a true mean value of 15 (B) A sample size of 50 and a true mean value of 18 (C) A sample size of 100 and a true mean value of 15 (D) A sample size of 100 and a true mean value of 18 (E) A sample size of 150 and a true mean value of 18
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