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What allows us to apply normal calculations to non-normal distributions?Stratified SampleCentral Limit TheoremMargins of ErrorRandomness

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The central limit theorem

Step-by-step explanation

The central limit theorem (CLT) in statistics states that when dealing with large samples the distribution of sample means approximates a normal distribution as the sample size gets larger, regardless of the population's distribution.

In these cases, in particular in hypo

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