In calculations of sample size for proportions, q refers to the .

A. calculated sample size
B. quota of required completes to refusals
C. the proportion of the population that does not have the attribute of interest
D. the proportion of the population that does have the attribute of interest
E. the desired precision

∴ option c) the proportion of the population that does not have the attribute of interest is correct.

Step-by-step explanation:

Given that in calculations of sample size for proportions.

In the calculation of sample size in proportion p is the sample proportion.

p is the proportion of the population that does have the attribute of interest.

We know that p+q=1

That is Every probability of success and failure is 1

p+q=1

⇒ q=1-p refers to the failure of p

Hence q is the the proportion of the population that does not have the attribute of interest

∴ option c) the proportion of the population that does not have the attribute of interest is correct

46.2+112.3

step-by-step explanation:

a .4y4

hope this !