Remember that the central limit theorem states that when an infinite number of successive random samples are taken from a population, the sampling distribution of the means of those samples will become approximately normally distributed with mean μ and standard deviation σ/√ N (∼N(μ, σ/√N)) as the sample size (N) becomes larger, irrespective of the shape of the population distribution.