Example 1: The population from which samples are selected is {1,2,3,4,5,6}. This population has a mean of 3.5 and a standard deviation of 1.70783. The next display shows a histogram of the population.
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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Flickr via Google Images Standard deviation is a concept that's thrown around frequently in finance. So what is it? When working with a quantitative data set, one of the first things we want to know ...
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