If the condition for using the empirical rule is met, why should that rule be us
ID: 3376053 • Letter: I
Question
If the condition for using the empirical rule is met, why should that rule be used instead of Chebyshev's rule? Select the correct answer below ?A. O B ? C. ? D Chebyshev s rule is an approximation to the pr portion o data that can be found in any interval around the mean if the distribution is not bell shaped, then Chebyshev's rule is equivalent to the empirical rule Chebyshev s rule only works for asymmetric distributions. If the distribution is symmetric, then the emp in al rie must be used. Chebyshev s rule is appropriate if the data set is small. If the data set is sumcienty large, then the empirical rule is more appropriate. hebyshev's rule is a lower bound on the proportion of data that can be found within a certain number of standard deviations from the mean s roughly bell-shaped, the empirical rule, in general, provides better estimates than Chebyshev's rule. f the disin onExplanation / Answer
Chebyshev's rule only provide the lower bound on the proportion of data. Hence,
Option D is correct.
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