Question

# The Central Limit Theorem allows us to make predictions about where a sample mean will fall...

The Central Limit Theorem allows us to make predictions about where a sample mean will fall in a distribution of sample means. One way it does this is by explaining (using a formula) how the shape of the distribution will change depending on the sample size. What part of the Central Limit Theorem tells us about the shape of the distribution?

The part that explains that there is no standardized table you can use to find probabilities once you use samples larger than

There is no part in the Central Limit Theorem that describes the shape of the distribution of sample means

The part that explains that Standard Error is a function of the population standard deviation divided by the square root of the sample size

The part that explains that the estimated mean of the sampling distribution will be the same as the population mean

Solution:

The Central Limit Theorem allows us to make predictions about where a sample mean will fall in the distribution of sample means. One way it does this is by explaining (using a formula) how the shape of the distribution will change depending on the sample size. What part of the Central Limit Theorem tells us about the shape of the distribution?

Answer: The part that explains that Standard Error is a function of the population standard deviation divided by the square root of the sample size.

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