The probability of a person who tests positive actually having the disease is 0.091.
The probability will be:
Positive Negative
Disease 49.75 0.25 50
No diseases 497.5 9452.5 9950
total 547.25
Let's take the total to be 10,000
0.5/100 × 10,000=50
10,000-50 = 9950
0.5/100 × 50 = 0.25 - disease negative
49.75 - no disease positive
Therefore, 5/100 × 9950=497.5-no disease positive. Therefore, no disease negative will be:
P(disease/ positive):
= 49.75/547.25
= 0.091
Therefore, the probability of a person who tests positive actually has the disease is 0.091.
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