Sampling error equals to half the width of a confidence interval.

Question

Quizplus · Accepted Answer

This statement is true. The sampling error is the degree to which a sample might differ from the true population value, and it is usually measured using the standard error of the mean. The confidence interval is a range of values which is likely to contain the true population value with a certain degree of confidence. The width of the confidence interval is affected by the sample size and the level of confidence, but it is also influenced by the sampling error. In general, the larger the sampling error, the wider the confidence interval, and vice versa. Therefore, if we know the width of the confidence interval, we can estimate the sampling error by dividing it by 2.

Sampling Error Equals to Half the Width of a Confidence