Question

4. given the following information answer the ensuing. - 20% of the population is estimated to...

4. given the following information answer the ensuing.

- 20% of the population is estimated to be infected

- a diagnostic test indicates infection 60% of the time in testing an infected person

- a diagnostic test indicates no infection 80% of the time in testing a non-infected person

4.1 probability a person is infected given that the test indicates infection

4.2 probability a person is not infected given that the does not indicate infection

4.3 probability a person is infected and the test indicates infection

4.4 probability a person is infected or the test indicates infection

Homework Answers

Answer #1

4.1)

probability a person is infected given that the test indicates infection

=P(infected and test indicates infection)/P(test indicates infection)

=0.2*0.6/(0.2*0.6+(1-0.2)*(1-0.8))=0.4286

4.2)probability a person is not infected given that the does not indicate infection

=P(not infected and test indicates no infection)/P(test indicates no infection)

=(1-0.2)*0.8/((1-0.2)*0.8+0.2*(1-0.6))=0.8889

4.3)

probability a person is infected and the test indicates infection=0.2*0.6=0.12

4.4)

probability a person is infected or the test indicates infection =1-P(not infected and test not shows infection)=1-(1-0.20)*0.8=0.36

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
4. A normal distribution has a mean = 60 and SD = 10. For this distribution,...
4. A normal distribution has a mean = 60 and SD = 10. For this distribution, find each of the following probability values: 4.1. P(X> 65) = ___________________ 4.3. P(X < 75) =________________ 4.2. P(X < 80) = ___________________ 4.4. P(55 < X < 85) =____________
The prevalence of a disease D among the population is 3%. There is a diagnostic test...
The prevalence of a disease D among the population is 3%. There is a diagnostic test for disease D. The sensitivity of this test is 99%, this means that the test is positive given that the person has the disease. The specificity of this test is 98%, this means that the test is negative given that the person does not have the disease. a) Given that a person tests positive, what is the probability that the person does not have...
1.Based on information in Statistical Abstract of the United States (116th edition), the average annual miles...
1.Based on information in Statistical Abstract of the United States (116th edition), the average annual miles driven per vehicle in the United States is 11.1 thousand miles, with sigma of 600 miles. Suppose that a random sample of 36 vehicles owned by residents of Chicago showed that the average mileage driven last year was 10.8 thousand miles. Does this indicate that the average miles driven per vehicle in Chicago is different from (higher or lower than) the national average? Use...
1.      A diagnostic test has a probability 0.95 of giving a positive result when applied to...
1.      A diagnostic test has a probability 0.95 of giving a positive result when applied to a person suffering from a certain disease, and a probability 0.10 of giving a (false) positive when applied to a non-sufferer. It is estimated that 0.5 % of the population are sufferers. Suppose that the test is now administered to a person about whom we have no relevant information relating to the disease (apart from the fact that he/she comes from this population). Calculate...
The most commonly used test for HIV has a sensitivity of 0.997 and a specificity of...
The most commonly used test for HIV has a sensitivity of 0.997 and a specificity of 0.985. In other words, a person infected with HIV will test positive for the virus 99.7% of the time while a person NOT infected with HIV will test NEGATIVE for the virus 98.5% of the time. Research current rates of infection for the indicated population in order to answer the following questions. 1. If a US randomly selected US resident is tested for HIV...
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...
A diagnostic test for disease X correctly identifies the disease 94% of the time. False positives...
A diagnostic test for disease X correctly identifies the disease 94% of the time. False positives occur 14%. It is estimated that 0.95% of the population suffers from disease X. Suppose the test is applied to a random individual from the population. Compute the following probabilities. (It may help to draw a probability tree.) The percentage chance that the test will be positive = % The probability that, given a positive result, the person has disease X = % The...
Assume that 0.4% of the population has a condition that is not detectible by simple external...
Assume that 0.4% of the population has a condition that is not detectible by simple external observation. A diagnostic test is available for this condition, but, like most tests, it is not perfect. The test correctly diagnoses, with a positive result, those with the condition 99.7% of the time. The test correctly identifies, with a negative result, those without the condition 98.5% of the time. Let the event C1 represent the presence of the condition and C2 represent the absence...
A certain virus infects 5% of the population. A test used to detect the virus in...
A certain virus infects 5% of the population. A test used to detect the virus in a person is positive 80% of the time if the person has the virus, and 10% of the time if the person does not have the virus. a. What is the probability that a randomly selected person tested positive and has the virus? b. What is the probability that a randomly selected person tested positive and does not have the virus? c. What is...
5. In medical tests the prevalence of a disease in a given population is the percentage...
5. In medical tests the prevalence of a disease in a given population is the percentage of the population that has the disease. For a population with a known prevalence, the positive predictive value (PPV) of a test is the probability that a person in the population that tests positive actually has the disease. The negative predictive value (NPV) of a test is the probability that a person in the population who tests negative, in fact, does not have the...