What is the difference between Chebyshev's Theorem and the empirical rule? Multiple Choice The empirical rule applies to all data sets, whether their distributions are symmetric and bell-shaped or not Chebyshev's theorem applies to all dota sets except those that have approximately a symmetric and bell shaped distribution 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 Chebyshev's theorem applies to all dota sets regardless of the shape of the distribution, whereas the empirical rule is only appropriate when the data t have approximately a symmetric and bell-shaped distribution