In: Statistics and Probability
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 = 82 and standard deviation σ = 27. 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)
x: glucose per deciliter (1/10 of a liter) of blood
x approximately normal with mean = 82 and standard deviation = 27
(a) probability that x is more than 60 = P(x>60)
P(x>60) = 1-P(x<60)
z-score for 60 = (60-82)/27 = -0.81
From standard normal tables, P(z<-0.81) = 0.2090
P(x<60)=P(z<-0.81) = 0.2090
P(x>60) = 1-P(x<60)=1-0.2090=0.791
probability that x is more than 60 = 0.7910
(b) probability that x is less than 110 = P(x<110)
z-score for 100= (110-82)/27 =1.04
From standard normal tables, P(z<1.04) = 0.8508
P(x<110) = P(z<1.04) = 0.8508
probability that x is less than 110 = 0.8508
(c) probability that x is between 60 and 110 = P(60<x<110)=P(x<110)-P(x<60)
From (b) P(x<110) = 0.8508
From (a) P(x<60) = 0.2090
P(60<x<110)=P(x<110)-P(x<60) = 0.8508-0.2090= 0.6418
probability that x is between 60 and 110 = 0.6418
(d) probability that x is more than 125= P(x>125)=1-P(x<125)
z-score for 125 =(125-82)/27=1.59
From standard normal tables , P(z<1.59) = 0.9441
P(x<125) = P(z<1.59) = 0.9441
P(x>125)=1-P(x<125) =1-0.9441=0.0559
probability that x is more than 125= 0.0559