As the size of the sample increases what happens to the shap

As the size of the sample increases, what happens to the shape of the distribution of sample means?

It cannot be predicted in advance

It is negatively skewed

It is positively skewed

It approaches a normal distribution

Solution

It approaches a normal distribution because the error decreases, in a normal distribution you are saying that the 99% of the cases are like that distribution, so you have to have a big sample

As the size of the sample increases, what happens to the shape of the distribution of sample means? It cannot be predicted in advance It is negatively skewed It

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