Diagnostic tests of medical conditions have several results. The
rest result can be positive or negative. A positive test (+)
indicates the patient has the condition. A negative test (–)
indicates the patient does not have the condition. Remember, a
positive test does not prove the patient has the condition.
Additional medical work may be required. Consider a random sample
of 201 patients, some of whom have a medical condition and some of
whom do not. Results of a new diagnostic test for the condition are
shown.
Condition Present |
Condition Absent |
Row Total |
|
Test Result + |
107 |
23 |
130 |
Test Result – |
23 |
48 |
71 |
Column Total |
130 |
71 |
201 |
Assume that the sample is representative of the entire population. For a person selected at random, find P(condition present|getting test result +). Round your answer to the nearest hundredth.
We have to find the probability of condition is present given that the test result is showing positive.
Let A denote the event that the condition is present.
T denote the event that the test is showing positive result.
Then we have to find P(condition present|getting test result +) i.e. P(A|T).
Now,
From the table we have,
and
Then,
Then the probability of condition is present given that the test result is showing positive is 0.823.
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