Thank you for using the timer - this advanced tool can estimate your performance and suggest more practice questions. We have subscribed you to Daily Prep Questions via email.
Customized for You
we will pick new questions that match your level based on your Timer History
Track Your Progress
every week, we’ll send you an estimated GMAT score based on your performance
Practice Pays
we will pick new questions that match your level based on your Timer History
Not interested in getting valuable practice questions and articles delivered to your email? No problem, unsubscribe here.
Thank you for using the timer!
We noticed you are actually not timing your practice. Click the START button first next time you use the timer.
There are many benefits to timing your practice, including:
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
(N/A)
Question Stats:
0%
(00:00)
correct 0%
(00:00)
wrong
based on 0
sessions
History
Date
Time
Result
Not Attempted Yet
In order to use Bayesian reasoning to predict the probability that a patient sitting in a doctor's surgery has flu, we would need to know the proportion of people in the general population who show the same symptoms as the patient, the proportion of people in the population at large who have flu, the probability that the symptoms displayed by the patient do in fact indicate that the patient has flu, and the probability that the patient would show the given symptoms if it could be established that he did in fact have flu.
Which of the following piece of evidence would NOT be useful in establishing the necessary evidence that would allow Bayesian reasoning to take place regarding whether the patient had flu or not?
(A) A survey of 1000 randomly chosen people detailing how many of them had high temperatures and clogged noses, where these are known to be symptoms of flu.
(B) An investigation which revealed that 92% of the patients who have flu show the same set of symptoms as the patient currently under investigation.
(C) A study that indicated that at any given moment, approximately 95% of the general population do not suffer from flu.
(D) A medical text book that demonstrated that the symptoms mainly associated with flu could also be indicative of two other
diseases.
(E) The estimate by an expert in the field of contagious diseases that approximately 30% of the patients showing the same symptoms as the patient are in fact suffering from flu.
Archived Topic
Hi there,
This topic has been closed and archived due to inactivity or violation of community quality standards. No more replies are possible here.
Still interested in this question? Check out the "Best Topics" block below for a better discussion on this exact question, as well as several more related questions.
In order to use Bayesian reasoning to predict the probability that a patient sitting in a doctor's surgery has flu, we would need to know the proportion of people in the general population who show the same symptoms as the patient, the proportion of people in the population at large who have flu, the probability that the symptoms displayed by the patient do in fact indicate that the patient has flu, and the probability that the patient would show the given symptoms if it could be established that he did in fact have flu.
Which of the following piece of evidence would NOT be useful in establishing the necessary evidence that would allow Bayesian reasoning to take place regarding whether the patient had flu or not?
(A) A survey of 1000 randomly chosen people detailing how many of them had high temperatures and clogged noses, where these are known to be symptoms of flu.
(B) An investigation which revealed that 92% of the patients who have flu show the same set of symptoms as the patient currently under investigation.
(C) A study that indicated that at any given moment, approximately 95% of the general population do not suffer from flu.
(D) A medical text book that demonstrated that the symptoms mainly associated with flu could also be indicative of two other diseases.
(E) The estimate by an expert in the field of contagious diseases that approximately 30% of the patients showing the same symptoms as the patient are in fact suffering from flu.
Still interested in this question? Check out the "Best Topics" block above for a better discussion on this exact question, as well as several more related questions.