Question #69227

Among 100,000 women with negative mammograms, 20 will be diagnosed with breast cancer in 2 years, whereas 1 woman in 10 with positive mammograms will be diagnosed with breast cancer in 2 years. Suppose that 10% of the general population of woman will have a positive mammogram. What is the probability that a woman who develops breast cancer over the next 2 years has a negative mammogram?

Expert's answer

Answer on Question #69227 – Math – Statistics and Probability

Question

Among 100,000 women with negative mammograms, 20 will be diagnosed with breast cancer in 2 years, whereas 1 woman in 10 with positive mammograms will be diagnosed with breast cancer in 2 years. Suppose that 10% of the general population of woman will have a positive mammogram. What is the probability that a woman who develops breast cancer over the next 2 years has a negative mammogram?

Solution

Let A = {mammogram+} and B = {breast cancer}. Then


P(B∣A‾)=20105=0.0002P(B|\overline{A}) = \frac{20}{10^5} = 0.0002P(B∣A)=110=0.1P(B|A) = \frac{1}{10} = 0.1


The two events A and B would be highly dependent


RR=P(B∣A)P(B∣A‾)=0.10.0002=500RR = \frac{P(B|A)}{P(B|\overline{A})} = \frac{0.1}{0.0002} = 500


The probability that a woman who develops breast cancer over the next 2 years has a negative mammogram


P(A‾∣B)=P(B∣A‾)P(A‾)P(B)P(\overline{A}|B) = \frac{P(B|\overline{A})P(\overline{A})}{P(B)}P(A‾)=1−P(A)=1−0.1=0.9P(\overline{A}) = 1 - P(A) = 1 - 0.1 = 0.9


Using total probability rule


P(B)=P(B∣A)P(A)+P(B∣A‾)P(A‾)P(B) = P(B|A)P(A) + P(B|\overline{A})P(\overline{A})P(B)=0.1(0.1)+0.0002(0.9)=0.01018.P(B) = 0.1(0.1) + 0.0002(0.9) = 0.01018.


Then


P(A‾∣B)=0.0002(0.9)0.01018≈0.0177P(\overline{A}|B) = \frac{0.0002(0.9)}{0.01018} \approx 0.0177


Answer: 0.0177.

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