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Q.

Case-Study 2: Read the following passage and answer the questions given below By examine the test, the probability that a person is diagnosed with CORONA when he is actually suffering from it, is 0.99. The probability that the doctor incorrectly diagnosed a person to be having CORONA, on the basis of test reports, is 0.001. In a certain city, 1 in 1000 persons suffers from CORONA. A person is selected at random
and is diagnosed to have CORONA.
On the basis of above information, answer the following questions.
(i) What is the P (CORONA is diagnosed, when the person actually has CORONA) and the P (CORONA is diagnosed, when the person has not CORONA)?
(ii) What is P (CORONA is diagnosed)?
(iii) What is the P (Person has CORONA given CORONA is diagnosed)?

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Detailed Solution

Let 𝐸 = event that the doctor diagnoses CORONA
𝐸1 = event that the person selected is suffering from CORONA
𝐸1 = event that the person selected is suffering from CORONA
We have, P (Person suffering from CORONA)
=PE1=11000=0.001
Also, PE2=1PE1=111000=9991000=0.999
(i)The required probabilities=PEE1=99100=0.99
and PEE2=11000=0.001
(ii)Required probability =P(E)=i=12PEiPEEi
=PE1PEE1+PE2PEE2=0.001×0.99+0.999×0.001=0.00099+0.000999=0.001989
(iii) Required Probability 
=PE1E=PE1PEE1PE1PEE1+PE2PEE2=0.001×0.990.001×0.99+0.999×0.001=0.000990.00099+0.000999=0.000990.001989=110221
 

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