A terrible new virus has been discovered amongst beef-cattle in Southern Alberta. It is estimated that 5% of all beef-cattle are infected with this virus. A team of veterinarians have developed a simple test. Indications are that this test will show a positive result - indicating the beef-cow being tested has the virus - with a probability of 0.93 Unfortunately, this test has a false-positive probability of 0.08
(a) A beef-cow in Southern Alberta was randomly chosen and given this test. The test results were positive, indicating the beef-cow has the virus. What is the probability that this particular beef-cow actually does have the virus?
(b) What is the probability that a beef-cow that tests negative for this virus, actually has the virus?
a)
p(tested +) = p(virus and tested positive ) + p(not having virus and tested +)
= 0.05 * 0.93 + (1-0.05) * 0.08
= 0.0465 + 0.076
0.1225
so, p(beef-cow actually have the virus given tested positive)= p(virus and postive) / p(tested +)
= 0.05*0.93 /0.1225
0.379592
b)
P(tested negative) =1-P(tested positive)
= 1-0.1225=0.8775
hence P(actually has the virus given tested negative
=P(virus and tested negative)/P(tested negative)
=0.05*(1-0.93)/0.8775
=0.0039886
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