The relationship between sample size and the width of a confidence interval may be explained by the concept of ______.
A) z score
B) point estimates
C) sampling error
D) descriptive statistics

Question

Quizplus · Accepted Answer

The width of a confidence interval is inversely proportional to the square root of the sample size. This means that as the sample size increases, the width of the confidence interval decreases. This is due to the fact that larger samples tend to be more representative of the population, which reduces the amount of variability and sampling error in the data. Therefore, the correct concept to explain this relationship is sampling error.

The Relationship Between Sample Size and the Width of a Confidence