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how do these central limit theroem relate to your real life
The Central Limit Theorem is important for statistics because it allows us to safely assume that the sampling distribution of the mean will be normal in most cases. This means that we can take advantage of statistical techniques that assume a normal distribution, as we will see in the next section
Central limit theorem helps us to make inferences about the sample and population parameters and construct better machine learning models using them. Moreover, the theorem can tell us whether a sample possibly belongs to a population by looking at the sampling distribution.
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