Question

(Bayes’ Theorem) It is known that 4% of the population has the dreaded cooties virus. After...

(Bayes’ Theorem) It is known that 4% of the population has the dreaded cooties virus. After being exposed on the playground, you go to the doctor to get tested for cooties. The test indicates that you have the virus. The test for cooties has a miss rate of 2% and a false positive rate of 8%. What is the probability that you actually have the cooties virus?

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

P(tested positive)=P(have virus and tested positive)+P(not have virus and tested positive)

=0.04*(1-0.02)+0.96*0.08=0.1160

hence probability that you actually have the cooties virus given tested positive)

=P(have virus and tested positive)/P(tested positive)=0.04*(1-0.02)/0.1160=0.337931

Add a comment
Know the answer?
Add Answer to:
(Bayes’ Theorem) It is known that 4% of the population has the dreaded cooties virus. After...
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
  • There is a brand new blood test for a certain virus that will determine whether you...

    There is a brand new blood test for a certain virus that will determine whether you have been exposed to the virus. It is known that in the population, 7.3% have been exposed to the virus. If the patient has been exposed to the virus, then the test returns • positive 63% of the time • negative 23% of the time • INCONCLUSIVE 14% of the time If the patient hasn't been exposed to the virus, then the test returns...

  • Hi, my answers seemed strange after using Bayes theorem, so I am unsure if I made the right calcu...

    hi, my answers seemed strange after using Bayes theorem, so I am unsure if I made the right calculations. Please show your work so I can catch my error :) Extra Credit: ELISA tests are used to screen donated blood for the presence of the AIDS virus. The test actually detects antibodies, substances that the body produces when the virus is present. When antibodies are present, ELISA is positive with probability about 0.997 and negative with probability about 0.003. When...

  • A certain virus infects one in every 300 people. A test used to detect the virus...

    A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 80% of the time when the person has the virus and 15 % of the time when the person does not have the virus. (This 15 % result is called a false positive.) Let A be the event "the person is infected" and B be the event "the person tests positive." (a) Using Bayes' Theorem, when a person tests...

  • A certain virus infects one in every 250 people. A test used to detect the virus...

    A certain virus infects one in every 250 people. A test used to detect the virus in a person is positive 80% of the time when the person has the virus and 15% of the time when the person does not have the virus. (This 15% result is called a false positive) Let A be the event "the person is infected" and B be the event "the person tests positive." (a) Using Bayes' Theorem, when a person tests positive, determine...

  • A terrible new virus has been discovered amongst​ beef-cattle in Southern Alberta. It is estimated that ...

    A terrible new virus has been discovered amongst​ beef-cattle in Southern Alberta. It is estimated that 6% of all​ beef-cattle are infected with this virus. A team of veterinarians have developed a simple test. Indications are that this test will show a positive result​ - indicating the​ beef-cow being tested has the virus​ - with a probability of 0.95. Unfortunately, this test has a​ false-positive probability of 0.09. ​(a) A​ beef-cow in Southern Alberta was randomly chosen and given this...

  • A certain virus infects one in every 300 people. A test used to detect the virus...

    A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 90% of the time when the person has the virus and 15% of the time when the person does not have the virus. (This 15% result is called a false positive.) Let A be the event the person is infected" and B be the event the person tests positive." (a) Using Bayes' Theorem, when a person tests positive, determine...

  • 6. Imagine that Zika virus has a 1% incidence in the population. A test for the...

    6. Imagine that Zika virus has a 1% incidence in the population. A test for the virus has a 3% false positive rate and no false negative rate. If someone takes the test and gets a positive result, what is the chance that they are infected? 7. Imagine that human papillomavirus has a 40% incidence among people 21-30 years of age. A test for the virus has a 50% false negative rate but no false positive rate. If you get...

  • Consider a small town that has a population of 1,000 people. It is known that in...

    Consider a small town that has a population of 1,000 people. It is known that in this town, 10 people are infected with a rare disease. The remaining 990 people are NOT infected with the disease. This data is known with certainty. Recently, The FDA (Food and Drug administration) developed a test that determines if a person is infected with this disease. However, as with most test of this nature, it is not foolproof proof as there are a certain...

  • Test Positive Test Neg. 19. Use Bayes' theorem to find the indicated probability, and re- fer...

    Test Positive Test Neg. 19. Use Bayes' theorem to find the indicated probability, and re- fer to the table which summarizes the results of testing for a certain disease. 20 Subjects with disease Subjects without disease 93 A test subject is randomly selected and tested for the disease. What is the probability the subject does not have the disease given that the test result is positive? F none of these

  • Suppose that a patient is being tested for a disease and it is known that 1%...

    Suppose that a patient is being tested for a disease and it is known that 1% of population have the disease. Suppose also that the patient tests positive and that the test is 95% accurate. Let D be the event that the patient has the disease and T the event that the tests positive. Then we know P(T|D) = P(T’|D’) = 0.95. Using Baye’s theorem and the Law of Total Probability, determine the prbability that the patient actually has the...

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
Active Questions
ADVERTISEMENT