Solving a sample size calculation problem

How does the bell-shaped curve for the sampling distribution of sample means for samples of size n = 120 compare to the bell-shaped curve for the sampling distribution of sample means for samples of size n = 95?

Answer: A curve with a sample size of 120 will fit a perfect curve more accurately than a curve with a sample size of 95. As the sample size is increased, the distribution becomes more precise.

BUT QUESTION--What happens to the variability in larger samples that creates that constriction in the bell?

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