The Central limit theorem also holds a 10% condition. Based on this assumption, the sample needs to be drawn without replacement, and it should not exceed 10% of the population selected. The last condition of this theorem is that the sample size must be adequately large. However, the central limit theorem does not define how large the size should be, although a standard model is recommended for a large enough sample size. The theory can only be applied with a sufficiently large sample, especially with a skewed population.
