Central Limit Theorem

Easy

statistics

Multiple Choice

All datasets are normally distributed if you collect enough data. The distribution of sample means approaches a normal distribution as the sample size increases, regardless of the population distribution. The median of a sample is always equal to the population median. Larger samples always have smaller standard deviations.

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The CLT says that when you take many random samples from any population and compute their means, those means will form an approximately normal distribution — even if the original population is skewed. This holds as the sample size n grows (typically n ≥ 30 is a rule of thumb). This is why confidence intervals and hypothesis tests work.

Central Limit Theorem

Multiple Choice

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