What does the central limit theorem state?
- A The distribution of sample means approaches normal as sample size increases, regardless of the population distribution
- B All data is normally distributed
- C Samples must be large to be valid
- D Variance decreases with sample size
Answer
The distribution of sample means approaches normal as sample size increases, regardless of the population distribution
It is what justifies using normal-based confidence intervals for means even when the underlying data is skewed.
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