As you increase your sample size for every time you do the average, two things are happening. You're becoming more normal, and your standard deviation is getting smaller. So the question might arise, is there a formula? So if I know the standard deviation, so this is my standard deviation of just my original probability density function. This is the mean of my original probability density function. So if I know the standard deviation, and I know n, n is gonna change depending on how many samples I'm taking every time I do a sample mean. If I know my standard deviation, or maybe if I know my variance, the variance is just the standard deviation squared.