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
