If n is large (typically n>30), the Central Limit Theorem states that the distribution of the if the population is also if the population is the sampling distribution of the variance sample can be normal, then the sampling also normal, then the sample mean can be O of the approximated closely by a O distribution of the sample O the variance of the approximated closely by a sample must normal curve, regardless of mean can be approximated sample mean must normal curve, regardless of be small. the population distribution closely by a normal curve be small. the population distribution