Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

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The central limit theorem (CLT) establishes that (under certain conditions) the properly normalized sum of independent random variables tends toward a normal distribution even if the original ...

The bootstrap can be used to assess uncertainty of sample estimates. We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1 ...

A random number generator (or equivalent process) is used to select all sampling locations. Can be used for any objective: estimating/testing means, comparing means, proportions, etc., of two or more ...

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