Only 1 in 1000 adults is afflicted with a rare disease for which a diagnostic test has been developed.The test is such that when an individual actually has the disease, a positive result will occur 99% of thetime, whereas an individual without the disease will show a positive test result only 2% of time. If arandomly selected individual is tested and the result is positive, what is the probability that theindividual has the disease.

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Answered: Only 1 in 1000 adults is afflicted with…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Similar questions

A diagnostic test for disease X correctly identifies the disease 95% of the time. False positives occur 7%. It is estimated that 5.13% of the population suffers from disease X. Suppose the test is applied to a random individual from the population. What is the percentage chance that, given a negative result, the person does not have disease X? What is the percentage chance that, the person will be misclassified?
Only 6% of people has 0-negative blood type. If a local blood drive has 100 donors, what is the probability that at least 10 of the 100 donors has O-negative blood?
Suppose that a clinical test for a rare disease produces 97% true positives and 95% of true negatives. It is also known that only 0.5% of the general population has the disease. What is the probability that a randomly selected individual with a positive test has the disease? Give your answer correct to four decimal places.
If an affected female XLX marries an unaffected male XY, what is the probability of passing the hypertrichosis gene to her offspring? Remember hypertrichosis is an X-linked dominant disease. If an affected male XLY marries an unaffected female XX, what is the probability of passing the hypertrichosis gene to his offspring?
A diagnostic test for disease X correctly identifies the disease 90% of the time. Flase positives occur 12%. It is estimated that 5.36% of the population suffers from disease X. Suppose the test is applied to a random individual from the population. What is the percentage chance that given a negative result, the person does not have disease X? What is the percentage chance that, the person will be misclassified?
What would be the correct way of doing this?
A new medical test has been designed to detect the presence of a certain disease. Among those who have the disease, the probability that the disease will be detected by the new test is 0.74. However, the probability that the test will erroneously indicate the presence of the disease in those who do not actually have it is 0.04. It is estimated that 14 % of the population who take this test have the disease.If the test administered to an individual is positive, what is the probability that the person actually has the disease?
Apparently, depression significantly increases the risk of developing dementia later in lift (BBC News, July 6, 2010). In a recent study it was reported that 22% of those who had depression went on to develop dementia, compared to only 17% of those who did not have depression. Suppose 10% of all people suffer from depression. What is the probability of a person developing dementia? If a person has developed dementia, what is the probability that the person suffered from depression earlier in life?
Set up a tree diagram labelled with events and probabilities (conditional and final joint probabilities) on all branches to correctly illustrate Problem 5 of the Conditional Probability WebWorks set (each student will have different numbers to work with). Show how to use the tree diagram with the appropriate probabilities to get your solution.
A drug manufacturer claims that their drug cures a certain blood disease 78% of the time. To check the claim, BFAD used the drug in a clinical trial of 100 individuals inflicted with the disease and decided to accept the claim if 70 or more are cured. What is the probability that the claim will be accepted when the cure probability is as low as 0.6?
A survey showed that 81% of adults need correction (eyeglasses, contacts, surgery, etc.) for their eyesight. If 20 adults are randomly selected, find the probability that no more than 1 of them need correction for their eyesight. Is 1 a significantly low number of adults requiring eyesight correction? The probability that no more than 1 of the 20 adults require eyesight correction is (Round to three decimal places as needed.)
A factory uses a specific machine to produce pieces. From previous data, we know that 97% of the time the machine is set up correctly. If this is the case, it produces 95% acceptable (non-defective) pieces. However, if it is not set up correctly, it produces only 40% of acceptable pieces Q23 Given that the selected piece is non-defective, what is the probability that the machine is set up correctly? Your answer should be in % and have two digits after the period. So, if your answer is 50.023%, enter 50.02. Your Answer:

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