A simple random sample consists of elements drawn at random, WITHOUT replacement. But the Central Limit Theorem only applies if we draw at random, WITH replacement. What allows us to ignore drawing without replacement (and pretend we drew with replacement)? the size of the population is much, much bigger than the size of the sample the sample is large the sample is random the sample is large and random