a)as disease is very rare ; therefore conditional probability that the person have the disease given tested positive will be very less.Therefore this is a good news,
b)
P(tested positive)=P(have disease and tested positive)+P(not have disease and tested positive)
=(1/10000)*0.99+(1-1/10000)*(1-0.99)=0.010098
hence P(have the disease given tested positive)
=P(have disease and tested positive)/P(tested positive)=(1/10000)*0.99/0.010098=0.009804
I. You are just told by your doctor that you tested positive for a serious disease....
Jane is being tested for a rare disease. Only 1.5% of the population has the disease. The following data were collected. First a group of people who had the disease were tested. 98.5% tested positive and 1.5% tested negative. Next, a group of people who did not have the disease were tested. 3% tested positive and 97% tested negative. (First write down the six given probabilities) [1] Page 4 of 8 MATH 140 - Introduction to Statistics What is the...
2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 99 percent reliable, this means that the test will yield an accurate positive result in 9 of the cases where the disease is actually present. Gestational diabetes affects #.1 percent of the population in our patient's age group, and that our...
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Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 98 percent reliable, this means that the test will yield an accurate positive result in 98% of the cases where the disease is actually present. Gestational diabetes affects 9 percent of the population in our patient’s age group, and that our test...
Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 98 percent reliable, this means that the test will yield an accurate positive result in 98% of the cases where the disease is actually present. Gestational diabetes affects 9 percent of the population in our patient’s age group, and that our test...
2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 90 percent reliable, this means that the test will yield an accurate positive result in 90% of the cases where the disease is actually present. Gestational diabetes affects 0+1 percent of the population in our patient’s age group, and that our...
Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 96 percent reliable, this means that the test will yield an accurate positive result in 96% of the cases where the disease is actually present. Gestational diabetes affects 7 percent of the population in our patient’s age group, and that our test...
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