In: Statistics and Probability
Central limit theorem is important because?
For a large , it says the population is approximately normal.
For a large , it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population.
For any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size.
For any sized sample, it says the sampling distribution of the sample mean is approximately normal.
Central limit theorem is important because?
The Central limit theorem is one of the most important and useful theorems on statistics. This theorem forms the foundation for the inferential branch of statistics. The central limit theorem describes the relationship between the sampling distribution of sample means and the population that the samples are taken from.