A population of the size
that is positively skewed is randomly generated when you click the "population" button. You can then change the "sample size",
. This sets the size of a single sample that will be drawn from the population. You can then change the number of samples,
. This sets the number of samples that will be drawn (of size
) from the population. For example, setting
to 10 and
to 50 means that you are drawing a sample of 10, 50 times. The mean for each sample is then calculated (e.g. 50 means) and plotted on the histogram, which represents the sampling distribution of the means. As per central limit theorem, as the sample size (the number of means, i.e. the number of samples) increases, the sampling distribution of the means will become more normally distributed even though the population distribution is skewed.