A value of 98% for this measure would mean that out of every 100 people who trul

Question

A value of 98% for this measure would mean that out of every 100 people who truly do not have a disease in question, 98 are expected to test negative on the screening test in question

A value of 84% for this measure would mean that for every 100 people who truly have a disease, 84 will test positive on the screening test in question

A value of 76% for this measure would mean that out of every 100 people who test positive on a screening test only 76 truly have the disease

These are the answers to choose from for all 3 questions:

a) sensitivity

B) Specificity

C) Positive predictive value

Please explain how you came to this conclusion

Explanation / Answer

A value of 98% for this measure would mean that out of every 100 people who truly do not have a disease in question, 98 are expected to test negative on the screening test in question - Specificity (Specifity is the percentage of people who are identified as not having disease from all the people who actually donot have the disease)

A value of 84% for this measure would mean that for every 100 people who truly have a disease, 84 will test positive on the screening test in question - Sensitivity (This is sensitivity because sensitivity indicates the ability of a test to detect disease in a person)

A value of 76% for this measure would mean that out of every 100 people who test positive on a screening test only 76 truly have the disease - Positive predictive value

(Positive predictive value is the percentage of true positive in all those people who tested positive. Here true positive means the proportion of people who are tested positive and actually have the disease and false positive means the proportion of people who are tested positive, but do not have the disease)

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