Diagnostic tests of medical conditions can have several types of results. The test result can be positive or negative, whether or not a patient has the condition. A positive test (+) indicates that the patient has the condition. A negative test (−) indicates that 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 200 patients, some of whom have a medical condition and some of whom do not. Results of a new diagnostic test for a condition are shown.   Condition Present Condition Absent Row Total Test Result + 103 27 130 Test Result − 21 49 70 Column Total 124 76 200 Assume the sample is representative of the entire population. For a person selected at random, compute the following probabilities. (Enter your answers as fractions.)  a)  P(+ | condition present); this is known as the sensitivity of a test (b)    P(− | condition present); this is known as the false-negative rate. (c)    P(− | condition absent); this is known as the specificity of a test. (d)    P(+ | condition absent); this is known as the false-positive rate. (e)    P(condition present and +); this is the predictive value of the test. (f)    P(condition present and −).

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Diagnostic tests of medical conditions can have several types of results. The test result can be positive or negative, whether or not a patient has the condition. A positive test (+) indicates that the patient has the condition. A negative test (−) indicates that 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 200 patients, some of whom have a medical condition and some of whom do not. Results of a new diagnostic test for a condition are shown.

  Condition Present Condition Absent Row Total
Test Result + 103 27 130
Test Result − 21 49 70
Column Total 124 76 200

Assume the sample is representative of the entire population. For a person selected at random, compute the following probabilities. (Enter your answers as fractions.)

 a)  P(+ | condition present); this is known as the sensitivity of a test

(b)    P(− | condition present); this is known as the false-negative rate.

(c)    P(− | condition absent); this is known as the specificity of a test.

(d)    P(+ | condition absent); this is known as the false-positive rate.

(e)    P(condition present and +); this is the predictive value of the test.

(f)    P(condition present and −).

 

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 Required probability is P(+| condition present)

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