# Freedman–Diaconis rule

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In statistics, the **Freedman–Diaconis rule**, named after David A. Freedman and Persi Diaconis, can be used to select the size of the bins to be used in a histogram.^{[1]} The general equation for the rule is:

where is the interquartile range of the data and is the number of observations in the sample

## Other approaches

Another approach is to use *Sturges' rule*: use a bin so large that there are about non-empty bins (Scott, 2009).^{[2]} This works well for *n* under 200, but was found to be inaccurate for large *n*.Template:Cn
For a discussion and an alternative approach, see Birgé and Rozenholc.^{[3]}