The probability that someone who doesnt have the

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Unformatted text preview: se 9990 total 10,000 To fill in the rest of the table: The table has four cells (this does not include the row or column totals). One of these four cells consists of the false positives, and one consists of the false negatives. A false positive is a positive diagnosis on someone who does not have the disease. These are recorded in the lower left cell. The false positive rate is 10%, so the number of false positives is 10% of 9990, or 999. A false negative is a negative diagnosis on someone who does have the disease. These are recorded in the upper right cell. The false negative rate is 10%, so the number of false negatives is 10% of 10, or 1. This goes in the 2nd cell of the top row....
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This document was uploaded on 12/11/2013.

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