The probability distribution of x is approximately normal with Hã = 70 and o = 19.50. What is the probability that x < 40? (Round your answer to four decimal places.) (c) Repeat part (b) for n = 3 tests taken a week apart. (Round your answer to four decimal places.) (d) Repeat part (b) for n = 5 tests taken a week apart. (Round your answer to four decimal places.) (e) Compare your answers to parts (a), (b), (c), and (d). Did the probabilities decrease as n increased? Yes No Explain what this might imply if you were a doctor or a nurse.

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Let x be a random variable that represents the level of glucose in the blood (milligrams per deciliter of blood) after a 12 hour fast. Assume that for people under 50 years old, x has a distribution
that is approximately normal, with mean u = 70 and estimated standard deviation o = 39. A test result x < 40 is an indication of severe excess insulin, and medication is usually prescribed.
In USE SALT
(a) What is the probability that, on a single test, x < 40? (Round your answer to four decimal places.)
(b) Suppose a doctor uses the average x for two tests taken about a week apart. What can we say about the probability distribution of x? Hint: See Theorem 6.1.
O The probability distribution of x is approximately normal with u, = 70 and o, = 27.58.
O The probability distribution of x is not normal.
O The probability distribution of x is approximately normal with H, = 70 and o, = 39.
O The probability distribution of x is approximately normal with u, = 70 and o, = 19.50.
What is the probability that x < 40? (Round your answer to four decimal places.)
(c) Repeat part (b) for n = 3 tests taken a week apart. (Round your answer to four decimal places.)
(d) Repeat part (b) for n = 5 tests taken a week apart. (Round your answer to four decimal places.)
(e) Compare your answers to parts (a), (b), (c), and (d). Did the probabilities decrease as n increased?
O Yes
O No
Explain what this might imply if you were a doctor or a nurse.
O The more tests a patient completes, the weaker is the evidence for excess insulin.
O The more tests a patient completes, the weaker is the evidence for lack of insulin.
O The more tests a patient completes, the stronger is the evidence for excess insulin.
O The more tests a patient completes, the stronger is the evidence for lack of insulin.
Transcribed Image Text:Let x be a random variable that represents the level of glucose in the blood (milligrams per deciliter of blood) after a 12 hour fast. Assume that for people under 50 years old, x has a distribution that is approximately normal, with mean u = 70 and estimated standard deviation o = 39. A test result x < 40 is an indication of severe excess insulin, and medication is usually prescribed. In USE SALT (a) What is the probability that, on a single test, x < 40? (Round your answer to four decimal places.) (b) Suppose a doctor uses the average x for two tests taken about a week apart. What can we say about the probability distribution of x? Hint: See Theorem 6.1. O The probability distribution of x is approximately normal with u, = 70 and o, = 27.58. O The probability distribution of x is not normal. O The probability distribution of x is approximately normal with H, = 70 and o, = 39. O The probability distribution of x is approximately normal with u, = 70 and o, = 19.50. What is the probability that x < 40? (Round your answer to four decimal places.) (c) Repeat part (b) for n = 3 tests taken a week apart. (Round your answer to four decimal places.) (d) Repeat part (b) for n = 5 tests taken a week apart. (Round your answer to four decimal places.) (e) Compare your answers to parts (a), (b), (c), and (d). Did the probabilities decrease as n increased? O Yes O No Explain what this might imply if you were a doctor or a nurse. O The more tests a patient completes, the weaker is the evidence for excess insulin. O The more tests a patient completes, the weaker is the evidence for lack of insulin. O The more tests a patient completes, the stronger is the evidence for excess insulin. O The more tests a patient completes, the stronger is the evidence for lack of insulin.
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