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 Jul 2019

www.statisticshowto.datasciencecentral.com www.statisticshowto.datasciencecentral.com

Sturge’s rule works best for continuous data that is normally distributed and symmetrical.


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The FreedmanDiaconis rule is very robust and works well in practice. The binwidth is set to h=2×IQR×n−1/3h=2×IQR×n−1/3h=2\times\text{IQR}\times n^{1/3}. So the number of bins is (max−min)/h(max−min)/h(\max\min)/h, where nnn is the number of observations, max is the maximum value and min is the minimum value.
How to determine the number of bins to use in a histogram.
