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? 0 a. o b. ° c. both apply only to symmetric and bell-shaped distributions. both do not require the data to have a sample standard deviation. both calculate the variance and standard deviation of a sample. d. both estimate proportions of the data contained within k standard deviations of the mean what is a difference between the empirical rule and chebychev's theorem? a. the empirical rule assumes the distribution is aproximately symmetric and bell-shaped and chebychev's theorem makes no assumptions o b. chebychev's theorem estimates proportions of data contained within infinite standard deviations and the empirical rule has a limit of 5 standard deviations ° c. the empirical rule assumes a small data set (less than 50 values) where chebychev's theorem has no limit on data size. o d. chebychev's theorem applies only to distributions which are approximately symmetric or bell-shaped and the empirical theorem has no restrictions.