When determining the sample size needed for a proportion for a given level of confidence and sampling error,the closer to 0.50 that p is estimated to be:
A)the smaller the sample size required.
B)the larger the sample size required.
C)the sample size is not affected.
D)the effect cannot be determined from the information given.

Question

Quizplus · Accepted Answer

The formula for determining sample size for a proportion involves the estimated proportion (p) and the desired level of confidence and sampling error. As p gets closer to 0.50, the variability in the data increases, which means that a larger sample size is needed to achieve the same level of precision in the estimate. Therefore, the closer to 0.50 that p is estimated to be, the larger the sample size required.

When Determining the Sample Size Needed for a Proportion for a Given