What is CLT (Central Limit Theorem)?

The central limit theorem (CLT) defines the dispersion of samples to approximate a normal distribution as the sample size expands if all samples are indistinguishable in size, and regardless of the population distribution shape.
The theorem implies that probabilistic and statistical techniques that work for normal distributions can be relevant to numerous problems including different types of distributions.