The larger the sampling error,the smaller the sample size needed to develop the confidence interval.

Question

Quizplus · Accepted Answer

This statement is true. A larger sampling error means that the actual population parameter is farther away from the sample estimate, and therefore a larger margin of error is required for the confidence interval. This larger margin of error can be achieved with a smaller sample size, as the variability in the sample size is greater when estimating a larger margin of error.

The Larger the Sampling Error,the Smaller the Sample Size Needed