Question

The probability that a person actually has the disease is 0.3, implying that out of 1000...

The probability that a person actually has the disease is 0.3, implying that out of 1000 people, 30 people have the disease. A new test has a false positive probability of 0.01 and a false negative probability of 0.02. A person is given the test and the result is positive, what is the probability they actually have the disease?

Homework Answers

Answer #1

Let D shows the event that person has disease. Let P shows the event that test gives positive result and N shows the event that test gives negative result. So we have

And we have

By the complement rule we have

(a)

By the law of total probability, we have

If the test reports a positive result for a person selected at random from the population, the probability that this person actually has the disease is

Answer: 0.7519

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
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...
The probability that a person has a certain disease is 0.05 Medical diagnostic tests are available...
The probability that a person has a certain disease is 0.05 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 If the medical diagnostic test has given...
The probability that a person has a certain disease is 0.30. Medical diagnostic tests are available...
The probability that a person has a certain disease is 0.30. Medical diagnostic tests are available to determine whether the person 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 0.01.If the medical diagnostic test has given a positive...
The probability that a person has a certain disease is 2%. Medical diagnostic tests are available...
The probability that a person has a certain disease is 2%. 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 tests will give a positive result (correct diagnosis) is 95%. If the disease is not actually present, the probability of a positive test result (incorrect diagnosis) is 0.5%. Suppose that the medical diagnostic test shows a positive result, (a) What is the probability...
In a pandemic respiratory infectious disease caused by a virus A, the diagnostic test has been...
In a pandemic respiratory infectious disease caused by a virus A, the diagnostic test has been developed and carried out. Under this test when an individual actually has the disease with a positive result (true-positive test) occurs with the probability of 0.99, whereas an individual without the disease will show a positive test result (false-positive test) with the probability of 0.02. What is more, scientists have shown that 1 out of 1000 adults is confirmed positive and has this disease....
A medical test is available to determine whether a patient has a certain disease. To determine...
A medical test is available to determine whether a patient has a certain disease. To determine the accuracy of the test, a total of 10,100 people are tested. Only 100 of these people have the disease, while the other 10,000 are disease free. Of the disease-free people, 9800 get a negative result, and 200 get a positive result. The 100 people with the disease all get positive results. Use this information as you answer the questions below. 1) Find the...
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?
According to the CDC and NIH, approximately 1 in 10,000 people have Huntington's disease. Suppose a...
According to the CDC and NIH, approximately 1 in 10,000 people have Huntington's disease. Suppose a new test for Huntington's disease is developed. The probability of a false positive is 0.001, and the probability of a false negative is 0.006. If a randomly selected individual is tested using this new test and the result is positive, what is the probability that the individual actually has Huntington's disease? Is this test good enough to consider using?
It is known that, on average, one hundred people (1 in 100) have a particular disease....
It is known that, on average, one hundred people (1 in 100) have a particular disease. A diagnostic test is devised to screen for this disease. A positive result is one that suggests that the person has the disease, and a negative result is one that suggests that the person does not have the disease. The possibility of errors in the test gives the following result probabilities: For a person who has the disease, the probability of a positive result...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT