- central limit theorem
- central limit theorem
According to this theorem, the sampling distribution of the sample mean is approximated by a Normal distribution as the sample size increases, irrespective of the shape of the original distribution. This is a very important result in Statistics, forming the basis to many quantitative tools of analysis, such as Hypothesis testing.
Source:
www.sigmapedia.com
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