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Sigma is used to represent the standard deviation of a dataset. The calculation is rather complex, but if you think of it as the "root of the mean of the squares of the differences" ... rms of differences ... it might make more sense.

Enter "standard deviation" on you search engine of choice for details. Wikipedia has a couple of basic examples, and a whole lot more!

Mu represents the population mean, or "average" - add all the values and divide by how many.

In statistics, you often don't know the population mean, so you take samples and find "x bar", the sample means, then using those to calculate an estimate of the population mean.

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Q: How do you figure sigma or mu in statistics?
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