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.

Investors use the normal probability distribution of a stock's past returns ... which is calculated as the level of variation of data in a sample around the mean. Using the empirical rule, for ...

This wonderfully animated applet helps users understand the sample mean's properties, using simulated fish length data which is assumed to come from a normal distribution. Users can choose the sample ...

this distribution will be nearly normal even if the sample data are non-normal. Identify the conditions when the CLT can be used for inference involving a sample mean: The sample size is sufficiently ...

In a continuous uniform distribution, outcomes are continuous and infinite. In a normal distribution, data around the mean (average) occur more frequently than occurrences farther from it.