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Earn +20 ptsQ: What is the difference between Gamma distribution and Central limit theorem?
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What is the definition of central limit theorem?
The central limit theorem basically states that as the sample size gets large enough, the sampling distribution becomes more normal regardless of the population distribution.
Difference between first and second shifting theorem?
Difference between first shifting and second shifting theorem
How do you know x bar and R charts follow normal distribution?
Central Limit Theorem
Why does a binomial distribution become more skewed as n increases?
As n increases, the distribution becomes more normal per the central limit theorem.
Why is the central limit theorem an important idea for dealing with a population not normally distributed?
According to the Central Limit Theorem, even if a variable has an underlying distribution which is not Normal, the means of random samples from the population will be normally distributed with the population mean as its mean.
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