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1. Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink. Shelia's measured glucose level one hour after the sugary drink varies according to the Normal distribution with µ = 124 mg/dl and σ = 13 mg/dl. If a single glucose measurement is made, what is the probability (±0.0001) that Shelia is diagnosed as having gestational diabetes? z= 140 −124 = 1.230769 13 P ( x > 140 ) = P ( z > 1.230769 ) = 0.1092 If measurements are made on 7 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability (±0.0001) that Shelia is diagnosed as having gestational diabetes? z= 140 −124 = 3.256309 13 / 7 P ( x > 140 ) = P ( z > 3.256309 ) = 0.0006 2. Shelia's measured glucose level one hour after a sugary drink varies according to the Normal distribution with µ = 125 mg/dl and σ = 10.8 mg/dl. What is the level L (±0.1) such that there is probability only 0.03 that the mean glucose level of 5 test results falls above L? The z-value corresponding to a right tail area of 0.03 is z = 1.881 Then L −125 = 1.881 10.8 L = 125 +10.8 (1.881) L = 145.3 3. Andrew plans to retire in 30 years. He is thinking of investing his retirement funds in stocks, so he seeks out information on past returns. He learns that over the 101 years from 1900 to 2000, the real (that is, adjusted for inflation) returns on U.S. common stocks had mean 8.5% and standard deviation 20.8%. The distribution of annual returns on common stocks is roughly symmetric, so the mean return over even a moderate number of years is close to Normal. What is the probability (assuming that the past pattern of variation continues) that the mean annual return on common stocks over the next 30 years will exceed 12%? (±0.0001) z= 12 − 8.5 = 0.9216 20.8 / 30 P ( x > 12 ) = P ( z > 0.9216 ) = 0.1784 What is the probability (±0.0001) that the mean return will be less than 5%? z= 5 − 8.5 = −0.9216 20.8 / 30 P ( x < 5) = P ( z < −0.9216 ) = 0.1784