In: Statistics and Probability
Please show work.
Total serum cholesterol levels for individuals 65 years of age and older are assumed to follow a normal distribution, with a mean of 182 mg/dL and a standard deviation of 14.7 mg/dL.
10) What proportion of these individuals have cholesterol levels of 175 mg/dL or more?
11) What proportion of these individuals have cholesterol levels between 150 mg/dL and 175 mg/dL?
12) If the top 10% of the cholesterol levels are assumed to be abnormally high, what is the upper limit of the normal range? (Hint: use NORMINV)
Solution :
Given that ,
10) P(x 175) = 1 - P(x 175 )
= 1 - P[(x - ) / (175 - 182) / 14.7]
= 1 - P(z - 0.48)
= 1 - 0.3156
= 0.6844
11) P( 150 < x < 175 ) = P[(150 - 182) / 14.7 ) < (x - ) / < (175 - 182) / 14.7) ]
= P( - 2.18 < z < -0.48)
= P(z < -0.48) - P(z < - 2.18 )
Using z table,
= 0.3156 - 0.0146
= 0.3010
12) Using standard normal table,
P(Z > z) =10%
= 1 - P(Z < z) = 0.10
= P(Z < z) = 1 - 0.10
= P(Z < z ) = 0.90
= P(Z < 1.28) = 0.90
z = 1.28
Using z-score formula,
x = z * +
x = 1.28 * 14.7 + 182
x = 200.82