Talk:Frequency distribution

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Mathematics High‑priority

	Mathematics portal This redirect is within the scope of WikiProject Mathematics, a collaborative effort to improve the coverage of mathematics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.MathematicsWikipedia:WikiProject MathematicsTemplate:WikiProject Mathematicsmathematics articles
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	This redirect is within the scope of WikiProject Statistics, a collaborative effort to improve the coverage of statistics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.StatisticsWikipedia:WikiProject StatisticsTemplate:WikiProject StatisticsStatistics articles
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"Sturges' rule"? 1 + 3.3 log n

The Construction section mentions the formula $1+3.3\log n$ for determining or estimating the ideal number of classes, where $n$ is the number of data points. From high school math, I have been taught this formula under the name "Sturges' rule", and a quick search of that term shows that some sources also attribute this name to this formula. However, there seems to be another formula for estimating the ideal number of classes having a very similar name yet it isn't algebraically equivalent with this one. Before realizing this, I wanted to add detail that the listed formula $1+3.3\log n$ is called Sturges' rule, just as I had added detail that the formula $C={\sqrt {n}}$ is called the "square-root choice" formula.

What should be done about this? I still wish to add detail and give a name for the formula, but I'm not sure how to go about the problem of the existence of a formula in the same context (that is, in estimating the ideal number of classes) with a very similar name. I can't seem to find this particular formula $\left(1+3.3\log n\right)$ mentioned anywhere else on Wikipedia either. --Bismabrj (talk) 01:19, 19 August 2020 (UTC)[reply]

Mathematics

Cute girl 112.198.123.107 (talk) 00:44, 28 April 2022 (UTC)[reply]