The Central Limit Theorem is important because it allows us to (please choose a many as you wish):

calculate probabilities involving averages when there are outliers in the sample.

calculate probabilities involving averages of large samples when the population is skewed.

calculate probabilities involving averages of large samples when the sample is biased.

calculate probabilities involving averages of small samples when the population is normal.

calculate probabilities involving averages of large samples when the population is normal.

calculate probabilities involving averages of large samples when the shape of the population is unknown.

*MORE THEN ONE RIGHT ANSWER*