What does SIGMA mean in mathematics?

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In the discussion, the term "Sigma mean" is clarified as the standard error, which is calculated by dividing the standard deviation (sigma) by the square root of the number of samples. This value indicates the uncertainty of the mean in a dataset. The Greek letter Sigma (Σ) is commonly used in mathematics to denote summation, representing the total of a series of numbers. The conversation highlights the distinction between standard deviation and Sigma mean, with the latter always being smaller. Overall, the participants successfully elucidate the meaning and application of Sigma mean in statistical analysis.
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In my lab I measure some chemical data. Output from the software I use contain also some stats, like the mean value, standard deviation and some number called SIGMA MEAN. My typical dataset looks like this:

sample MgO Al2O3
a 5,307872109 7,45113642
b 8,496074587 9,182072932
c 1,413995015 7,488017765
d 5,241196501 12,15347965
e 1,592772949 7,863316958
f 0,518347063 4,050451192
g 1,117824945 5,952661741

Mean value: 3,384011881 7,734448094
Sigma: 2,992231593 2,53402361
Sigma mean: 1,130957237 0,957770898

I know what is mean value and standard deviation sigma, but I never heard about sigma mean. It is always smaller than sigma and it seems to depend on sigma. Please do somebody know what it is Sigma mean?
 
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In mathematics, the Greek letter Sigma (Σ) is often used to represent the summation operator. When you see Σ in a mathematical expression, it typically indicates that you should sum a series of numbers or terms. The letter Sigma is followed by an expression that specifies the terms to be summed, and the summation is performed over a specified range or set of values.

For example, the expression Σn from n = 1 to 5 represents the sum of the numbers 1, 2, 3, 4, and 5:

Σn from n = 1 to 5 = 1 + 2 + 3 + 4 + 5 = 15

You can use Σ to represent more complex summations involving variables, sequences, or other mathematical expressions. It is a concise way to express the idea of adding up a series of terms or values.
 
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John Creighto is correct; this parameter is the standard error (the sample deviation divided by the square root of the number of samples), which represents the uncertainty of the mean.
 
Thank you very much Mapes and John Creighto for help, now it is absolutely clear to me. :cool:
 
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