The central limit theorem is important in statistics because

a) for a large n, it says the population is approximately normal.
b) for any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size
c) for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population
d) for any sized sample, it says the sampling distribution of the sample mean is approximately normal.

c) for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population

Step-by-step explanation:

The central limit theorem tells us that if we have a large sample size, the distribution made up of the sample means will have an approximately normal shape.  It does not matter what the shape of the population is, as long as the sample size is large enough.

the answer is 14ft

step-by-step explanation:

answer: $201

step-by-step explanation: to get the answer, you first get 3 nieces that he sold and multiply it by 67 and get $201, so he earned $201 selling his nieces.