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 = 80 and standard deviation σ = 21. 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)
Solution :
Given that mean μ = 80 , standard deviation σ = 21
(a) x is more than 60
=> P(x > 60) = P((x - μ)/σ > (60 - 80)/21)
= P(Z > -0.9524)
= P(Z < 0.9524)
= 0.8289
(b) x is less than 110
=> P(x < 110) = P((x - μ)/σ < (110 - 80)/21)
= P(Z < 1.4286)
= 0.9236
(c) x is between 60 and 110
=> P(60 < x < 110) = P((60 - 80)/21 < (x - μ)/σ < (110 - 80)/21)
= P(-0.9524 < Z < 1.4286)
= 0.7525
(d) x is greater than 125
=> P(x > 125) = P((x - μ)/σ > (125 - 80)/21)
= P(Z > 2.1429)
= 1 − P(Z < 2.1429)
= 1 − 0.9838
= 0.0162
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