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Let x be a random variable that represents the level of glucose in the blood (mi

ID: 3363984 • Letter: L

Question

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, xhas a distribution that is approximately normal, with mean = 53 and estimated standard deviation = 27. A test result x < 40 is an indication of severe excess insulin, and medication is usually prescribed.

(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.

The probability distribution of x is not normal.The probability distribution of x is approximately normal with x = 53 and x = 13.50.     The probability distribution of x is approximately normal with x = 53 and x = 27.The probability distribution of x is approximately normal with x = 53 and x = 19.09.


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?

YesNo     


Explain what this might imply if you were a doctor or a nurse.The more tests a patient completes, the stronger is the evidence for lack of insulin.The more tests a patient completes, the stronger is the evidence for excess insulin.     The more tests a patient completes, the weaker is the evidence for lack of insulin.The more tests a patient completes, the weaker is the evidence for excess insulin.

Explanation / Answer

sOLUTIONa:

mean=53

sd=27

P(X<40)

z=x-mean/sd

=40-53/27

=-13/27

=-0.48

P(Z<-0.48)

=1-P(Z<0.48)

=1-0.6844

=0.3156

ANSWER:0.3156

Solutionb:

for two tests taken about a week

n=2

sample mean=pop mean=53

sd=sd/sqrt(27/sqrt(2)=19.09

The probability distribution of x is approximately normal with x = 53 and x = 19.09.

Solutionc:

P(X <40)

z=40-53/19.09

z=-0.68

P(Z<-0.68)

=1-P(Z<0.68)

=1-0.7517

=0.2483

answer:0.2483

SOLUTIONC:

P(X<40) FOR N=5

Z=40-53/27/SQRT(5)

=-1.08

P(Z<-1.08)

=1-P(Z<1.08)

=1-0.8599

=0.1401

ANSWER:0.1401

the probabilities decrease as n increased?

YesNo

YES