A certain blood test accurately indicates the presence of a disease 87% of the time when the disease is actually present. The test indicates the presence of the disease 0.4% of the time when the disease is not present. If 2% of the population has the disease, what percentage of the total population will receive a false positive

0.392% of the total population will receive a false positive

Step-by-step explanation:

We have that:

2% of the population has the disease.

So 100-2 = 98% of the population does not have the disease.

For 0.4% of the people who do not have the disease, the test is positive.

What percentage of the total population will receive a false positive

0.4% of 98%. So

0.004*0.98 = 0.00392

0.392% of the total population will receive a false positive

whole numbers.

step-by-step explanation:

we are given the average monthly rainfall (in millimeters) model r(m) for the years 1900-2009 as a function of the month number m.

as we can see m is taken for the number of months for years 1900-2009.

we know that number of months can't be a negative number or decimal number or a fraction.

so, the number of months could be only positive whole numbers.

therefore, whole numbers is more appropriate for the domain of r.