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Discuss the similarities and the differences between the Empirical Rule and Chebychev's Theorem. What is a similarity between the Empirical Rule and Chebychev's Theorem? O A. Both do not require the data to have a sample standard deviation. O B. Both apply only to symmetric and bell-shaped distributions. O C. Both estimate proportions of the data contained within k standard deviations of the mean. O D. Both calculate the variance and standard deviation of a sample. What is a difference between the Empirical Rule and Chebychev's Theorem? O A. The Empirical Rule assumes a small data set (less than 50 values) where Chebychev's Theorem has no limit on data size. O B. Chebychev's Theorem applies only to distributions which are approximately symmetric or bell-shaped and the Empirical Theorem has no restrictions.O C. The Empirical Rule assumes the distribution is aproximately symmetric and bell-shaped and Chebychev's Theorem makes no assumptions. O D. Chebychev's Theorem estimates proportions of data contained within infinite standard deviations and the Empirical Rule has a limit of 5 standard deviations