Respuesta :
Answer:
Step-by-step explanation:
Say we are testing 100 people
we test 100 times
80 of the 100 tests result in 5 people having the disease.
so 5 people of 80 of 100 test have this disease
therefore, 5/80/100
.065
Answer:
The probability of testing positive for the disease is:
23%
Step-by-step explanation:
The population who have disease = 5%
Hence, the population who do not have disease= 95%
( since 100%-55=95%)
Also, the percent that the test is accurate= 80%
and the percent that the test is not accurate= 100%-80%=20%
Hence, the probability of testing positive for the disease is :
The person actually has disease×Test is positive+Person do not have disease×test is not accurate
= 0.05×0.80+0.95×0.20
= 0.23
Hence, the probability is: 23%
