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 = 83 and standard deviation σ = 24. 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 = = 83
standard deviation = = 24
n = 12
= 83
= ( /n) = (24 / 12 ) = 9.9282
a ) P ( > 60)
= 1 - P ( < 60 )
= 1 - P ( - /) < (60 - 83 / 9.9282)
= 1 - P ( z < - 23 / 9.9282 )
= 1 - P ( z < -2.32 )
Using z table
= 1 - 0.0102
= 0.9898
Probability = 0.9898,
b ) P ( < 110)
P ( - /) < (110 - 83 / 9.9282)
P ( z < 27 / 9.9282 )
P ( z < 2.72 )
Using z table
= 0.9967
Probability = 0.9967
c ) P ( 60 < < 110)
P (60 - 83 / 9.9282) ( - /) < (110 - 83 / 9.9282)
P ( - 23 / 9.9282 < z < 27 / 9.9282 )
P ( - 2.32 < z < 2.72 )
P ( Z < 2.72 ) - P ( Z < - 2.32 )
Using z table
=0.9967 - 0.0102
= 0.9865
Probability = 0.9865
d ) P ( > 125 )
= 1 - P ( < 125 )
= 1 - P ( - /) < (125 - 83 / 9.9282)
= 1 - P ( z < 42 / 9.9282 )
= 1 - P ( z < 4.23 )
Using z table
= 1 - 1
= 0
Probability = 0