As the sample size approaches infinity, the probability distribution of the sample mean converges to a normal distribution, regardless of the shape of the original population distribution. This phenomenon, known as the Central Limit Theorem, ensures that in large samples, the mean will follow a predictable pattern and can be used for statistical inference, hypothesis testing, and data analysis.
