What the central limit theorem says about the shape of the distribution of sample is that the shape will be approximately more distributed as the sample size gets larger.
The central limit theorem in statistics states that as the sample size gets larger, it will get closer to normal. The shape will be approximately more distributed. If the sample size is large, the sample mean will be approximately normally distributed.
Thus, we can conclude that what the central limit theorem says about the shape of the distribution of sample is that the shape will be approximately more distributed as the sample size gets larger.
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