What is the difference between Analysis of Relative Location and the empirical rule?
A) The empirical rule applies to all data sets,whether their distributions are symmetric and bell-shaped or not.
B) Chebyshev's theorem applies to all data sets except those that have approximately a symmetric and bell-shaped distribution.
C) The empirical rule applies to all data sets,whereas Chebyshev's theorem is appropriate when the data have approximately a symmetric and bell-shaped distribution.
D) Chebyshev's theorem applies to all data sets,whereas the empirical rule is only appropriate when the data have approximately a symmetric and bell-shaped distribution.

Question

Quizplus · Accepted Answer

Chebyshev's theorem applies to all data sets regardless of their distribution shape, while the empirical rule is specifically for data sets with a symmetric, bell-shaped distribution.

What Is the Difference Between Analysis of Relative Location and the Empirical