What Is the Difference Between Chebyshev's Theorem and the Empirical

What is the difference between Chebyshev's theorem 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.