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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Coefficient of deviation (CV) is a term used in statistics. It is defined as the ratio of the standard deviation (sigma) to the mean (mu). The formula for CV is CV=sigma/mu.
The answer will depend on the distribution of the variable.
Since this is regarding statistics I assume you mean lower case sigma (σ) which, in statistics, is the symbol used for standard deviation, and σ2 is known as the variance.
It means the sum total.
in statistics, summation denoted by upper case sigma, is used to find the sum of a series of observation in a particular variable.