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The Central Limit Theorem says if we sampled the population multiple times and plotted the means of each sample we would see a normal distribution,

The Central Limit Theorem says if we sampled the population multiple times and plotted the means of each sample we would see a normal distribution, why is this an important inference to make in population statistics?

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