- Mean of the random sampling distribution is equal to the mean of original population
Friday, 11 November 2011
Central limit theorem
- The random sampling distribution of any means would always tends to be normal, irrespective of the population distribution for which the sample were drawn. Hence, even if the population distribution is skewed or in any non normal distribution, the sample means would be normally distributed
- Mean of the random sampling distribution is equal to the mean of original population
- Mean of the random sampling distribution is equal to the mean of original population
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