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On a normal distribution curve, standard deviation tells us how much data fall in each group around the mean, according to empirical law.

So, for example of SD = 14 and sample mean($\bar{x}$) = 50, as shown in figure below: enter image description here If the data is normally distributed, 68.2% of the data will be around the mean inside SD units on each side to mean.

Real data is hardly normally distributed, so how do I interpret Standard Deviation values I get from software, for example, numpy.std of Python?

Naveen Reddy Marthala
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  • yes, I didn't check that question and it didn't show up in suggestions when I was even writing the title of the question. my question is a duplicate of that question. – Naveen Reddy Marthala Sep 13 '20 at 13:19

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