5% of the population have heart disease. If you have heart disease, the probability that you have high blood pressure is 90% If you do not have heart disease, the probability that you have high blood pressure is 15%

Alfredo Cooley

Alfredo Cooley

Answered question

2022-11-06

I haven't used Bayes' theorem much before so any help would be greatly appreciated.
Suppose you are given following data.5% of the population have heart disease.
If you have heart disease, the probability that you have high blood pressure is 90%
If you do not have heart disease, the probability that you have high blood pressure is 15%
What is the probability that a person chosen at random from the population has high blood pressure?
P ( B ) = P ( B | H ) P ( H ) + P ( B | H ) P ( H )
P ( B ) = ( .9 ) ( .05 ) + ( .15 ) ( .95 ) = .1875
Using Bayes Theorem calculate the probability that the person has heart disease, if they have high blood pressure.
P ( H | B ) = P ( B | H ) P ( H ) P ( B )
( .9 ) ( .05 ) / .1875 = .24
Using Bayes Theorem calculate the probability that the person has heart disease, if they do not have high blood pressure.
P ( H | B ) = P ( B | H ) P ( B ) P ( H )
When I sub in for this part I'm getting an invalid answer

Answer & Explanation

Biardiask3zd

Biardiask3zd

Beginner2022-11-07Added 16 answers

Step 1
P ( H | B ) = P ( H B ) P ( B ) = P ( B | H ) P ( H ) P ( B )
for the second is fine.
Step 2
So analogously for the third
P ( H | B ) = P ( H B ) P ( B ) = P ( B | H ) P ( H ) P ( B )
and use that P ( B ) = 1 P ( B ) and P ( B | H ) = 1 P ( B | H ). You know all the values already.
Kenna Stanton

Kenna Stanton

Beginner2022-11-08Added 3 answers

Explanation:
The answer is 3 16 ..
You divide and conquer, so the probability that someone has heart disease and high blood pressure is ( 1 20 ) ( 9 10 ), which is 9 200 . The probability that someone doesn't have heart disease and has high blood pressure is ( 1 20 ) 3 20 , which is 57 400 . 9 200 is the same as 18 400 . If you add these two fractions, you get 75 400 , or 3 16 .

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