If the data set is approximately bell-shaped,the empirical rule will more accurately reflect the greater concentration of data close to the mean as compared to the Chebyshev rule.

Question

Quizplus · Accepted Answer

The empirical rule is based on the assumption of a normal distribution, which is bell-shaped. Therefore, if the data set is approximately bell-shaped, the empirical rule will be more accurate in reflecting the greater concentration of data close to the mean than the more general Chebyshev rule.

If the Data Set Is Approximately Bell-Shaped,the Empirical Rule Will