1- The Central Limit Theorem says that if X does NOT have a normal distribution, X-Bar still has an approximate normal distribution if n is large enough (n > 30).

Group of answer choices:

A- True

B- False

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2- As the sample size increases, what happens to the margin of error (MOE) in a confidence interval? Keep everything else the same.

Group of answer choices:

A- MOE decreases as n increases.

B- MOE increases as n increases.

C- MOE is not affected if n increases.

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3- Suppose the average weight of a box of cereal is 28 ounces with a standard deviation of 2 ounces. Assume the weights have a normal distribution. Which is smaller? The chance that one box has a weight less than 27.5 ounces, or the chance that 49 boxes have an average weight less than 27.5 ounces?

Group of answer choices:

A- The chance that one box weighs less than 27.5 ounces is smaller

B- Both would give the same chance.

C- The chance that the average of 49 boxes weighs less than 27.5 ounces is smaller.