Which is not true of the Empirical Rule?
A)It applies to any distribution.
B)It can be applied to fewer distributions than Chebyshev's Theorem.
C)It assumes that the distribution of data follows a bell-shaped, normal curve.
D)It predicts more observations within μ ± kσ than Chebyshev's Theorem.The

Question

Quizplus · Accepted Answer

The Empirical Rule specifically applies to normally distributed data, which is a bell-shaped curve, making it not applicable to any distribution. Chebyshev's Theorem, on the other hand, applies to all distributions, making the Empirical Rule less universally applicable.

Which Is Not True of the Empirical Rule