In: Math
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 = 89 and standard deviation σ = 22.
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)
mean= u = 89
standard deviation = s = 22
a) P ( X > 60 )
Z-score = ( X - u)/s
Z(60) = ( 60 - 89) /22 = -1.3181
P( Z > -1.3181 ) = 0.9063
b) P( X < 110 )
Z (110 ) = (110 -89)/22
P ( Z < 0.9545 ) = 0.8301
(c) Between 60 and 110
Z(60) = -1.3181
Z(110) = 0.8301
P( -1.3181 < Z < 0.8301 ) = 0.7363
(d)
P ( X > 125 )
Z(125) = (125- 89)/22
P( Z > 1.6363 ) =0.0509