In: Statistics and Probability
A terrible new virus has been discovered amongst beef-cattle in Southern Alberta. It is estimated that
44%
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
0.950.95.
Unfortunately, this test has a false-positive probability of
0.060.06.
(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) If the beef-cow tests positive for the virus, the probability that this beef-cow actually has the virus is
nothing.
(Enter your answer to four decimals)
(b) The probability that a beef-cow that tests negative for this virus, actually has the virus is
nothing.
(Enter your answer to four decimals)
(a)
From the given data, the following Table is calculated:
Test Positive | Test Negative | Total | |
Infected with virus | 0.04X0.95=0.038 | 0.04-0.038=0.002 | 0.04 |
Not infected with virus | 0.96 X 0.06 = 0.0576 | 0.96 - 0.0576 = 0.9024 | 0.96 |
Total | 0.0956 | 0.9044 | 1.00 |
P(Infected with virus/ Test Positive) = P(Infected with virus AND Test Positive)/ P(Test Positive)
= 0.038/ 0.0956
= 0.3975
So,
Answer is:
0.3975
(b)
P(Infected with virus/ Test Negative) = P(Infected with virus AND Test Negative)/ P(Test Negative)
= 0.002/ 0.9044
= 0.0022
So,
Answer is:
0.0022