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 = 25. 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
(d) x is greater than 125 (borderline diabetes starts at 125)
a)
for normal distribution z score =(X-μ)/σ | |
here mean= μ= | 86 |
std deviation =σ= | 25.0000 |
P( x is more than 60):
probability = | P(X>60) | = | P(Z>-1.04)= | 1-P(Z<-1.04)= | 1-0.1492= | 0.8508 |
b)
P( x is less than 110):
probability = | P(X<110) | = | P(Z<0.96)= | 0.8315 |
c)
P( x is greater than 125)
probability = | P(X>125) | = | P(Z>1.56)= | 1-P(Z<1.56)= | 1-0.9406= | 0.0594 |
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