In: Statistics and Probability
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 μ = 72 and estimated standard deviation σ = 41. 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 μx = 72 and σx = 20.50. The probability distribution of x is approximately normal with μx = 72 and σx = 28.99.The probability distribution of x is approximately normal with μx = 72 and σx = 41.
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
a)
Here, μ = 72, σ = 41 and x = 40. We need to compute P(X <= 40). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z = (40 - 72)/41 = -0.78
Therefore,
P(X <= 40) = P(z <= (40 - 72)/41)
= P(z <= -0.78)
= 0.2177
b)
The probability distribution of x is approximately normal with μx = 72 and σx = 28.99.
Here, μ = 72, σ = 28.99 and x = 40. We need to compute P(X <= 40). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z = (40 - 72)/28.99 = -1.1
Therefore,
P(X <= 40) = P(z <= (40 - 72)/28.99)
= P(z <= -1.1)
= 0.1357
c)
Here, μ = 72, σ = 23.67 and x = 40. We need to compute P(X <= 40). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z = (40 - 72)/23.67 = -1.35
Therefore,
P(X <= 40) = P(z <= (40 - 72)/23.67)
= P(z <= -1.35)
= 0.0885
d)
Here, μ = 72, σ = 18.34 and x = 40. We need to compute P(X <= 40). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z = (40 - 72)/18.34 = -1.74
Therefore,
P(X <= 40) = P(z <= (40 - 72)/18.34)
= P(z <= -1.74)
= 0.0409
e)
yes