Question

Suppose that a rare disease occurs in the general population in only one of every 10,000...

Suppose that a rare disease occurs in the general population in only one of every 10,000 people. A medical test is used to detect the disease. If a person has the disease, the probability that the test result is positive is 0.99. If a person does not have the disease, the probability that the test result is positive is 0.02. Given that a person’s test result is positive, find the probability that this person truly has the rare disease?

Homework Answers

Answer #1

So, If a person is tested positive, there is probability of 0.49261% that he has that rare disease.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose four out of every 10,000 individuals in a country has a rare disease. a test...
Suppose four out of every 10,000 individuals in a country has a rare disease. a test for the disease exist. individuals known to have the disease test positive 96% of the time individuals known to be free of the disease test negative 96% of the time. Suppose an individual from the country is selected at random( with all being equally likely to be selected) and given the test . Given that the individuals test positive what is the probability that...
6. A rare and sever form of anemia occurs at a rate of one case per...
6. A rare and sever form of anemia occurs at a rate of one case per thousand people in the general population. Simple diagnostic test for anemia has the following property: If the person tested actually has anemia, then the probability of a positive test is .90. If the person tested does not have this anemia, then the probability of a negative test is .95. Given a positive test result, what is the likelihood that the person actually has anemia?
A rare disease exists in 3% of the population. A medical test exists that can detect...
A rare disease exists in 3% of the population. A medical test exists that can detect (positive results) this disease 98% of the time for those who do, in fact have this disease. On the other hand, 5% of the time positive results will come back for those who do not have this disease. a. Draw a "tree diagram" illustrating this scenario. b. Determine the probability that a person will test positive. C. Determine the probability that a person who...
A virus has a rare occurrence:   the virus occurs,   on average,     20 out of every 200000...
A virus has a rare occurrence:   the virus occurs,   on average,     20 out of every 200000 people. An antibody test has been devised.    Among those with the virus,    the test correctly detects the person has been infected with probability 0.95.       Among those without the virus,   the test correctly identifies the person as virus free 0.95 % of the time. Suppose  you have tested positive for the disease.    How worried should you be? Answer this by computing your probability of having the...
A new test for the diagnosis of a rare disease has a 93% probability of a...
A new test for the diagnosis of a rare disease has a 93% probability of a positive result if the patient is sick and a 83% probability of a negative result if the patient is not sick. We know that only 1% of the population has this rare disease. What is the probability that a patient is sick if the test is positive?
Consider a laboratory test to detect a disease. Let A = {event that the tested person...
Consider a laboratory test to detect a disease. Let A = {event that the tested person has the disease} B = {event that the test result is positive} and it is known that P(B|A) = 0.99, P(B|Ac ) = 0.005, and 0.1 percent of the population actually has the disease. What is the probability that a person has the disease given that a test is positive? a. Work the problem analytically. b. Write a MATLAB simulator to verify your answer.
The probability that a person has a certain disease is 0.03 Medical diagnostic tests are available...
The probability that a person has a certain disease is 0.03 Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually​ present, the probability that the medical diagnostic test will give a positive result​ (indicating that the disease is​ present) is 0.92 If the disease is not actually​ present, the probability of a positive test result​ (indicating that the disease is​ present) is 0.02 a. If the medical diagnostic test has...
The probability that a person has a certain disease is 0.03 Medical diagnostic tests are available...
The probability that a person has a certain disease is 0.03 Medical diagnostic tests are available to determine whether the person actually has the disease. If the disease is actually​ present, the probability that the medical diagnostic test will give a positive result​ (indicating that the disease is​ present) is 0.88 If the disease is not actually​ present, the probability of a positive test result​ (indicating that the disease is​ present) is 0.02 a. If the medical diagnostic test has...
Suppose you are analyzing a test for a blood disease where • 94% of people with...
Suppose you are analyzing a test for a blood disease where • 94% of people with the disease test positive. • Only 0.5% of the population has this disease. • The false-positive rate is 0.1%. (a) What is the test’s precision, that is the probability that a person with a positive test has the disease? (b) What is the accuracy of the test, that is the probability that either a person tests positive AND has the disease OR a person...
11. Virus: In a city with a population of 10,000, 100 are infected with a novel...
11. Virus: In a city with a population of 10,000, 100 are infected with a novel virus; the other 9,900 are not. The government has moved quickly to develop a test that is meant to detect whether the virus is present, but it is not perfect: If a person genuinely has the virus, it is able to properly detect its presence 96% of the time. If a person genuinely does not have the virus, the test will mistakenly conclude its...