0 Question 4 v When using the Central Limit Theorem, what is the "magic number" for sample size that allows you to use the C.L.T even if the population is not normally distributed? 0 Question 5 v a. Suppose that the amount of time that a certain auto repair job takes is Exponentially distributed. You take a random sample of 5 times for this job and find that the sample mean is 77 minutes. Is the sample size large enough to use the Central Limit Theorem to find the probability that the sample mean repair time exceeds 77 minutes? ""333 Yes, since the population is normally distributed, sample size does not matter '33:? No, since the population is normally distributed, sample size must be at least 30 ""3? Yes, since the population is not normally distributed, sample size does not matter '33:} No, since the population is not normally distributed, sample size must be at least 30 b. Suppose that the amount of time that a certain auto repair job takes is Normally distributed. You take a random sample of 5 times for this job and find that the sample mean is 77 minutes. Is the sample size large enough to use the Central Limit Theorem to find the probability that the sample mean repair time exceeds 77 minutes? '13:} Yes, since the population is normally distributed, sample size does not matter C' No, since the population is normally distributed, sample size must be at least 30 C' Yes, since the population is not normally distributed, sample size does not matter '33:? No, since the population is not normally distributed, sample size must be at least 30