The Central Limit Theorem is important in Statistics because: a. It tells us that large sample do not need to be selected b. It guarantees that, when it applies, the samples that are drawn are always randomly selected. c. It enables reasonably accurate probabilities to be determined (based on normal calculations) for events involving the sample average when the sample size is large enough, regardless of the distribution of the original variable d. It tells us that if several samples have provides sample averages which seem to be different than expected, the next sample average will likely be close it its expected value.