A person's blood glucose level and diabetes are closely related. Let x be a random variable measured in milligrams of glucose per deciliter (1/10 of a liter) of blood. Suppose that after a 12-hour fast, the random variable x will have a distribution that is approximately normal with mean μ = 86 and standard deviation σ = 26. Note: After 50 years of age, both the mean and standard deviation tend to increase. For an adult (under 50) after a 12-hour fast, find the following probabilities. (Round your answers to four decimal places.)
(a) x is more than 60
(b) x is less than 110
(c) x is between 60 and 110
(d) x is greater than 125 (borderline diabetes starts at
125)
Given,
= 86, = 26
We convert this to standard normal as
P( X < x) = P( Z < x - / )
a)
P( X > 60) = P( Z > 60 - 86 / 26)
= P( Z > -1)
= P( Z < 1 )
= 0.8413
b)
P( X < 110) = P (Z < 110 - 86 / 26)
= P( Z < 0.9231)
= 0.8220
c)
P(60 < X < 110) = P( X < 110) - P( X < 60)
= P (Z < 110 - 86 / 26) - P( Z < 60 - 86 / 26)
= P( Z < 0.9231 ) - P( Z < -1)
= 0.8220 - 0.1587
= 0.6633
d)
P( X > 125) = P( Z > 125 - 86 / 26)
= P( Z < 1.5)
= 0.9332
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