In: Statistics and Probability
Test shows Positive |
Test Shows Negative |
Total |
|
Has Defect |
|||
Does Not have Defect |
|||
Total |
1,000,000 |
Total population under study = 1,000,000.
It is given that only 0.5% cases have defect.
So total population that have defect = 1000000*0.5/100 = 5000.
So in total 5000 people have this defect.
Now if the accuracy of the test 96%. Then total number of people who have defect and are shown positive in the test = 0.96*5000 = 4800.
So number of people who have the defect but have not got positive results = 5000-4800 = 200.
Number of people who don’t have the defect = 1000000-5000 = 995000
Number of people who dont have the defect and the teet correctly shows negative results=
0.96*995000 = 955200
Total number of people who don’t have the defect but their results falsely show positive results =
995000 - 955200 = 39800.
So the table will be
Test shows positive | Test shows negative | Total | |
Has Defect | 4800 | 200 | 5000 |
Does not have defect | 39800 | 955200 | 995000 |
Total | 44600 | 955400 | 1,000,000 |
A) Out of all positive results, probability of getting a false positive result = 39800 / 44600 = 0.89
B) Probability of a false negative result, given that the result is negative = 200/955400 = 0.00021
C) If the child has a defect, Probability that the test shows positive result = 4800/5000 = 0.96
D) Probability of a positive result from the total = 44600 / 1000000 = 0.0446.