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In a town, 10% of the population is HIV positive. A new diagnostic kit arrived in the market. This kit correctly identities HIV positive individual 95% of the time and HIV negative individual 89% of time. A particular patient is tested by this kit and is found to be positive. Then the probability that the patient is actually positive .0.4896

Answer» In a town, 10% of the population is HIV positive. A new diagnostic kit arrived in the market. This kit correctly identities HIV positive individual 95% of the time and HIV negative individual 89% of time. A particular patient is tested by this kit and is found to be positive. Then the probability that the patient is actually positive .
  1. 0.4896


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