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Central Limit Theorem (CLT)

Central Limit Theorem (CLT)

The Central Limit Theorem is one of the most important and well-known principles in probability theory. It states that as the size of a sample population increases, the distribution of its sample variables will approach a normal distribution. This principle is incredibly useful for predicting the behavior of large groups of data, and has been used in everything from financial analysis to medical research.
Despite its importance, many people don’t understand or appreciate the Central Limit Theorem. They may see it as nothing more than an abstract mathematical principle with no practical applications. But this theorem has had a huge impact on our world, and continues to be used in many different fields. We should all take time to learn about it and appreciate its significance!
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