What does SIGMA mean in mathematics?

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SUMMARY

The discussion clarifies the concept of "Sigma mean," which is defined as the standard error of the mean, calculated by dividing the standard deviation (Sigma) by the square root of the number of samples. In the provided dataset, Sigma values for MgO and Al2O3 are 2.992231593 and 2.53402361, respectively, leading to Sigma means of 1.130957237 and 0.957770898. The Greek letter Sigma (Σ) is also noted for its role as a summation operator in mathematics, indicating the addition of a series of numbers or terms.

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  • Mathematical notation, particularly the use of the Greek letter Sigma (Σ)
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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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