The second component of the central limit theorem that we are addressing in this tutorial states that the sampling distribution of the mean becomes more normally distributed as sample size increases. Let's now take larger samples of data (N=25) from our uniform population and calculate the mean for each sample. The central limit theorem requires that we take successive random samples of the same size from our population so this time we will take 25 samples of 25 subjects. The sample means are presented below.