Introduced on day 3
Variance
The expected squared deviation from the mean, Var(Y) = E[(Y - E[Y])^2]; its square root is the standard deviation.
In detail
Variances of independent quantities add. The variance of an average of n independent values with variance sigma^2 is sigma^2 / n, which is why larger samples give more precise estimates.