What do superscripts and subscripts in statistical notation mean?

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SUMMARY

The discussion clarifies the meaning of superscripts and subscripts in statistical notation, specifically in the context of expressing measurement errors. The notation 2_{-0.1}^{+0.9} indicates a non-symmetric interval, where the value can range from 1.9 to 2.9. This format is essential for accurately conveying the uncertainty associated with measurements in statistical analysis. Understanding this notation is crucial for interpreting data correctly in various scientific fields.

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plasmon
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I have studied a measurement 2(+0.9 error(written in superscript) and -0.1 error(written in subscript)) in a book that gives statistical value of difefrent parameters . What does this measurement implies. As a normal statistical error is written as (2 +-0.9).
For e.g
2-0.1+0.9
 
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My best guess is that it is referring to a "non-symmetric" interval: that is
2_{-0.1}^{+0.9} refers to a number that may be as low as 2-0.1= 1.9 or as high as 2+ 0.9= 2.9.
 

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