The probability that someone who tests positive has the genetic disease is 0.142
What is probability?
Simply put, probability measures how probable something is to occur. We can discuss the probabilities of various outcomes, or how likely they are, whenever we are unsure of how an event will turn out. Statistics is the study of events subject to probability.
Let E be the people test positive
Let F be the people who has disease
P(F)= 1/10000 = 0.0001
P(E/F)= 99.5% = 0.995
P(E/F bar ) = 0.06 % = 0.0006
Baye's theorem:
P(F/E) = [ P(E/F) * P(F) ] / [ P(E/F) * P(F) + P(E/F bar ) * P( F bar ) ]
conditional probability :
P(B/A) = P ( A [tex]\cap[/tex] B ) / P(A)
Complement rule is given by:
P (F bar ) = 1 - P(F) = 1 - 0.0001 = 0.9999
The probability that someone who tests positive has the genetic disease :
P(F/E) = [ P(E/F) * P(F) ] / [ P(E/F) * P(F) + P(E/F bar ) * P( F bar ) ]
= ( 0.995 * 0.0001 ) / ( 0.995 * 0.0001 + 0.0006 *0.9999)
= 0.142
To learn more about the probability from the given link
https://brainly.com/question/24756209
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