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 = 81 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)
(a)
= 81
= 26
To find P(X>60):
Z = (60 - 81)/26
= - 0.8077
By Technology, Cumulative Area Under Standard Normal Curve = 0.2096
So,
P(X>60) = 1 - 0.2096 = 0.7904
So,
Answer is:
0.7904
(b)
= 81
= 26
To find P(X<110):
Z = (110 - 81)/26
= 1.1154
By Technology, Cumulative Area Under Standard Normal Curve = 0.8677
So,
P(X<110) = 0.8677
So,
Answer is:
0.8677
(c)
= 81
= 26
To find P(60<X<110):
For X = 60:
Z = (60 - 81)/26
= - 0.8077
By Technology, Cumulative Area Under Standard Normal Curve = 0.2096
For X = 110:
Z = (110 - 81)/26
= 1.1154
By Technology, Cumulative Area Under Standard Normal Curve = 0.8677
So,
P(60<X<110) = 0.8677 - 0.2096 = 0.6581
So,
Answer is:
0.6581
(d)
= 81
= 26
To find P(X>125):
Z = (125 - 81)/26
= 1.6923
By Technology, Cumulative Area Under Standard Normal Curve = 0.9547
So,
P(X>125) = 1 - 0.9547 = 0.0453
So,
Answer is:
0.0453