Central limit theorem

• If all samples of a particular size are selected from any population = the sampling distribution of the sample mean is approximately a normal distribution
• Sampling distribution of a sample mean = normal if distribution is normal
• Population distribution is not normal = normal shape of sampling distribution of sample mean emerges with samples as small as 10
• Distribution is skewed = requires samples of >30