Question

A blood sample correctly identifies a disease 95% of the time when the disease is actually...

A blood sample correctly identifies a disease 95% of the time when the disease is actually present. The same test gives false positives 0.5% of the time. One percent of the population actually have the disease. If you test positive what are the chances you have the disease?

0 0
Add a comment Improve this question Transcribed image text
Answer #1

ANSWER:

Given that,

Let D shows the event that person has disease and shows the event that person dont have disease. Let P shows the event that test indicates the presence of disease and N shows the event that test dont indicate the presence of disease. So we have

and

By the complement rule we have

By the law of total probability the probability that  the test indicates the absence of the disease is

By the baye's theorem, the probability that a person does not have the disease and the test indicates the absence of the disease is

Add a comment
Know the answer?
Add Answer to:
A blood sample correctly identifies a disease 95% of the time when the disease is actually...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • In a laboratory, blood test is 95% effective in detecting a certain disease, when it is,...

    In a laboratory, blood test is 95% effective in detecting a certain disease, when it is, in fact, present. However, the test also yields a false positive (test is positive but patient does not have the disease) result for 1% of the healthy people tested. 0.5% of the population actually has the disease. Given this information, calculate the following probabilities: The probability that the test is positive. Given a negative result, the probability that the person does not have the...

  • Question 10: (10 marks) blood test is 95 percent effective in detecting a certain disease when it is, in fact, also...

    Question 10: (10 marks) blood test is 95 percent effective in detecting a certain disease when it is, in fact, also yields a "false positive" result for 10 percent of the healthy persons A laboratory present. However, the test tested. (That is, if a healthy person is tested, then, with probability 0.10, the test result will imply he or she has the disease.) If 0.7 percent of the population actually has the disease, what is the probability a person has...

  • It’s known that 2 % of people in a certain population have the disease. A blood...

    It’s known that 2 % of people in a certain population have the disease. A blood test gives a positive result (indicating the presence of disease) for 95% of people who have the disease, and it is also positive for 3% of healthy people. One person is tested and the test gives positive result. a. If the test result is positive for the person, then the probability that this person actually has a disease is _________ b. If the test...

  • 3) A certain blood test for a disease gives a positive result 90% of the time...

    3) A certain blood test for a disease gives a positive result 90% of the time among patients having the disease. It also gives a positive result 25% of the time among people who do not have the disease. It is believed that 30% of the population has this disease a) What is the probability that a person with a positive test result indeed has the disease? b) What is the probability that the blood test gives a negative result?...

  • a blood test is 80% effective in detecting a certain diseas when it is, in fact,...

    a blood test is 80% effective in detecting a certain diseas when it is, in fact, present. however, the test also yields a "false positive" result for 10% of healthy persons. if 5% of the population actually has this disease, what is the probability a person has said disease when positive test result appears.

  • Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and p...

    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. A rare disease affects 1% of the population. A test has a sensitivity of 98%,...

    2. A rare disease affects 1% of the population. A test has a sensitivity of 98%, i.e., it will give a positive result 98% of the time that a person actually has the disease. The same test also has a specificity of 95%, i.e., it will give a negative result 95% of the time when a person does not have the disease. Denote the event that a randomly person has a disease by D, and the event that a randomly...

  • A disease affects 16% of the population. There is a test (not perfect) that detects disease...

    A disease affects 16% of the population. There is a test (not perfect) that detects disease with a probability of 98% (i.e comes back positive when the person has the disease). However, the test produces 5% false positives, i.e comes back positive even though the person does not have the disease. i) A person who has the disease is tested, what is the probability that the test will come back negative. ii) What is the probability that a randomly selected...

  • A doctor examines a patient and thinks the patient might have a disease that is very...

    A doctor examines a patient and thinks the patient might have a disease that is very rare -- 1 in 5 million. The patient goes for a test which is 99.9% accurate -- meaning false positives as well as false negatives occur only .1 percent of the time. a) If the test comes back positive, what is the probability that the patient has the disease? b) If, after seeing the test results, the patient decides to have another lab administer...

  • A doctor examines a patient and thinks the patient might have a disease that is very...

    A doctor examines a patient and thinks the patient might have a disease that is very rare -- 1 in 5 million. The patient goes for a test which is 99.9% accurate -- meaning false positives as well as false negatives occur only .1 percent of the time. a) If the test comes back positive, what is the probability that the patient has the disease? b) If, after seeing the test results, the patient decides to have another lab administer...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT