Question

Suppose 1% of a given population have a certain genetic defect. For a new gene test,...

  1. Suppose 1% of a given population have a certain genetic defect. For a new gene test, it gives a positive result with 90% probability when an individual does have the genetic defect, and it gives a positive result with 9.6% probability when an individual does NOT have the genetic defect.
  1. a. If a person gets a positive test result, what is the probability that he/she actually has the genetic defect?
  1. If a person gets a negative test result, what is the probability that he/she actually has the genetic defect?
  1. Now suppose a person is tested twice and assume the two tests are conducted independently. Suppose both tests give positive results, what is the probability that he/she actually has the genetic defect?
  1. Now suppose a person is tested twice and assume the two tests are conducted independently. Suppose both tests give negative results, what is the probability that he/she actually has the genetic defect?

Homework Answers

Answer #1

Genetic defect. GD

Positive +

NOT the genetic defect NGD

Negative -

NOW

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
A certain genetic condition affects 5% of the population in a city of 10,000. Suppose there...
A certain genetic condition affects 5% of the population in a city of 10,000. Suppose there is a test for the condition that has an error rate of 1% (i.e., 1% false negatives and 1% false positives). Consider the values that would complete the table below.       Has condition       Does not have condition       Totals Test positive Test negative Totals What is the probability (as a percentage) that a person does not have the condition if he or she...
Suppose 1 in 25 adults is afflicted with a disease for which a new diagnostic test...
Suppose 1 in 25 adults is afflicted with a disease for which a new diagnostic test has been developed. Given that an individual actually has the disease, a positive test result will occur with probability .99. Given that an individual does not have the disease, a negative test result will occur with probability .98. Use a probability tree to answer the following questions. Question 1. What is the probability of a positive test rest result? Question 2. If a randomly...
It’s known that 3 % of people in a certain population have the disease. A blood...
It’s known that 3 % of people in a certain population have the disease. A blood test gives a positive result (indicating the presence of disease) for 90% of people who have the disease, and it is also positive for 5% of healthy people One person is tested and the test gives positive result If the test result is positive for the person, then the probability that this person actually has a disease is _________ If the test result is...
We have the following statements: 1 percent of the population is infected by a disease. We...
We have the following statements: 1 percent of the population is infected by a disease. We have a test, a, that has a sensitivity of 90% and a specificity of 95%. Sensitivity means that a person will test positive IF they are in fact infected. Specificity means that a person will test negative IF they are in fact not infected. The question is: What is the probability that a random tested person gets a positiv result? And what is the...
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...
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?
To determine whether or not they have a certain disease, 160 people are to have their...
To determine whether or not they have a certain disease, 160 people are to have their blood tested. However, rather than testing each individual separately, it has been decided first to group the people in groups of 10. The blood samples of the 10 people in each group will be pooled and analyzed together. If the test is negative. one test will suffice for the 10 people (we are assuming that the pooled test will be positive if and only...
To determine whether or not they have a certain desease, 80 people are to have their...
To determine whether or not they have a certain desease, 80 people are to have their blood tested. However, rather than testing each individual separately, it has been decided first to group the people in groups of 16. The blood samples of the 16 people in each group will be pooled and analyzed together. If the test is negative, one test will suffice for the 16 people (we are assuming that the pooled test will be positive if and only...
Q1. If the individual have the disease the probability is .95 that the test gives positive...
Q1. If the individual have the disease the probability is .95 that the test gives positive diagnosis where if the individual does not have the disease the probability is 0.98 that the test gives negative diagnosis. Assume that 8% of tested people have the disease. Answer the following: What is the sensitivity and the specificity of the test? If an individual has diagnosed positive what is the probability that he actually has the disease? Q2. for the BP measurements of...
Suppose that the fraction of infected people in a city is p = 0.01. 100 people...
Suppose that the fraction of infected people in a city is p = 0.01. 100 people from the city board a small cruise. You can assume that the people are unrelated to each other and randomly chosen so that each person is infected independently with probability p. You can also ignore the possibility that they infect each other while boarding. Suppose that the virus test gives negative when the person has the virus with probability 0.2, and gives negative when...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT