SE where s is the standard deviation of the population from which the sample is drawn, and n is the size of the sample. Keep your head about you! Don’t let the appearance of letters mess up the basic intuition. The standard error will be large when the standard deviation of the underlying distribution is large. A large sample drawn from a highly dispersed population is also likely to be highly dispersed;