The amount of time paSSing between succeSsive customer check-ins to a downtown Calgary hotel can be modeled by an exponential distribution with a mean of 15 minutes. {a} What can you say about the distribution of the time passing between the successive check-ins of customers at this downtown Calgary hotel? 0 A. The distribution is right-skewed with a mean of 15 minutes and a standard deviation of 225 mint-1:352. O B. The distribution is left-skewed with a mean of 15 minutes and a standard deviation of 15 minutes. 0 C. The distribution is symmetrical with a mean of 15 minutes and a standard deviation of 15 minutes. 0 D. The distribution is left-skewed with a mean of 15 minutes and a standard deviation of 225 minutes? 0 E. The distribution is right-skewed with a mean of 15 minutes and a standard deviation of 15 minutes. 0 F. The distribution is left-skewed with a mean of 15 minutes and a standard deviation of 3.3? minutes. 0 G. The distribution is right-skewed with a mean of 15 minutes and a standard deviation of 3.8? minutes. {h} Compute the probability that the amount of time passing between the arrival of successive customers who check-in is: {i} less than 7' minutes. E] [Round to at least four decimals in your answer] {ill between 9.5 and 20 minutes. C] {Round to at least four decimals in your answer} {iii} more than 30 minutes. [:] {Round to at least four decimals in your answer] {c} If 14 minutes have passed since the last customer checked-in, what is the probability that at least another 5 minutes will pass until the next customer checks-in to this hotel? E] {Round to at least four decimals in your answer) {6] 90% of the time, the number of minutes passing between successive customer check-ins is at most how many minutes? C] minutes [Round to at least two decimals in your answer]