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The data represent the results for a test for a certain disease. Assume one individual from the group is randomly selected. Find the probability of getting someone who tested positive given that he or she had the disease.

The data represent the results for a test for a certain disease. Assume one individual-example-1

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Answer:

To find the probability of getting someone who tested positive given that he or she had the disease, we need to use the formula for conditional probability:

P(positive|disease) = P(positive and disease) / P(disease)

From the given data, we can see that there are 136 individuals who tested positive and actually had the disease. Therefore, P(positive and disease) = 136.

We can also see that there are a total of 136 + 8 = 144 individuals who actually had the disease. Therefore, P(disease) = 144.

Substituting these values into the formula, we get:

  • P(positive|disease) = 136 / 144

Simplifying, we get:

  • P(positive|disease) = 0.944

Rounding to three decimal places, we get:

  • P(positive|disease) ≈ 0.944

Therefore, the probability of getting someone who tested positive given that he or she had the disease is approximately 0.944.

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