What do superscripts and subscripts in statistical notation mean?

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Superscripts and subscripts in statistical notation indicate different types of errors associated with a measurement. In the example given, the notation 2(+0.9 error in superscript and -0.1 error in subscript) suggests a non-symmetric error interval. This means the value can range from 1.9 to 2.9, reflecting the lower and upper bounds of the measurement. The notation effectively communicates the uncertainty in the measurement, distinguishing between the positive and negative error margins. Understanding this notation is crucial for accurately interpreting statistical data.
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.
 
First trick I learned this one a long time ago and have used it to entertain and amuse young kids. Ask your friend to write down a three-digit number without showing it to you. Then ask him or her to rearrange the digits to form a new three-digit number. After that, write whichever is the larger number above the other number, and then subtract the smaller from the larger, making sure that you don't see any of the numbers. Then ask the young "victim" to tell you any two of the digits of the...

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