Let D shows the evet that person has predisposition. So we have
Let P shows the event that test give positive result and N shows the event that test give negative result. So
By the complement rule
By the law of total probability, the probability that test gives positive results is
By the law of probability, the probability that person actually have predisposition given that test results positive is,
Help please (12 points) A genetic test is used to determine if people have a pred...
Assume that 0.1% of people from a certain population have a germ. A test gives false positive in 10% of cases when the person does not have this germ. This test gives false negative in 20% of cases when this person has this germ. Suppose you pick a random person from the population and apply this test twice. Both time it gives you positive result. What is the probability that this person actually has this germ?
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 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...
Please help. This is a multi
step question.
Q: The proportion of people in a given community who have a certain disease is 0.005. A test is available to diagnose the disease. If a person has the disease, the probability that the test will produce a positive signal is 0.98. If a person does not have the disease, the probability that the test will produce a positive signal is 0.02. (1) f a man tests negative, what is the probability...
Please provide the answer clearly
11 Data shows that approximately 3% of people have a specific disease. There is a test for this disease, but the result is not always accurate. If a sick person takes the test, there is 98% chance that the result of the test wil be positive. However, if a healthy person takes the test, there is 97% chance that the result of the test will be negative. If a random person from the population takes...
All parts please. I think I have a and b but want to check once
I am done.
A test for diabetes is a measurement of a person's blood sugar level, X, following an overnight fast. For a healthy person, a result in the range 70-110 mg/dl is considered normal. A positive" for diabetes, (event T+)is X 2 140; a "negative" (event Tis X 110; the test is considered ambiguous (event T) İf I 10 〈 X 〈 140. For...