In a sample of 1000 test the expected number of false negatives is 8.6.
Step-by-step explanation:
The table provided is:
               Positive    Negative   TOTAL
Hepatitis C Â Â Â Â Â Â 335 Â Â Â Â Â Â Â Â Â 10 Â Â Â Â Â Â 345
No Hepatitis C Â Â Â Â Â 2 Â Â Â Â Â Â Â 1153 Â Â Â Â Â 1155
TOTAL Â Â Â Â Â Â Â Â Â Â 337 Â Â Â Â Â Â Â 1163 Â Â Â Â Â 1500
A false negative test result implies that, the person's test result for Hepatitis C was negative but actually he/she had Hepatitis C.
Compute the probability of false negative as follows:
Compute the expected number of false negatives in a sample is n = 1000 tests as follows:
E (False negative) = n × P (Negative|No Hepatitis C)
              Â
Thus, in a sample of 1000 test the expected number of false negatives is 8.6.