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There is abig difference between them..gamma is a distribution but central limit theorm is just like a method or technique u use to approximate gamma to another distriution which is normal....stupid

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Q: What is the difference between Gamma distribution and Central limit theorem?
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Related questions

What does the central limit theorem say about the shape of the sampling distribution of?

The Central Limit THeorem say that the sampling distribution of .. is ... It would help if you read your question before posting it.


What is the definition of central limit theorem?

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The Central Limit Theorem is important in statistics because?

According to the central limit theorem, as the sample size gets larger, the sampling distribution becomes closer to the Gaussian (Normal) regardless of the distribution of the original population. Equivalently, the sampling distribution of the means of a number of samples also becomes closer to the Gaussian distribution. This is the justification for using the Gaussian distribution for statistical procedures such as estimation and hypothesis testing.


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Because other than in a degenerate case, the maximum of a set of observations is not at its centre! And the theorem concerns the distribution of estimates of the central value - as the name might suggest!