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The number of classes typically chosen for a dataset depends on the size and range of the data, but a common guideline is to use Sturges' formula, which suggests using ( k = 1 + 3.322 \log(n) ), where ( n ) is the number of observations. The size of class intervals can be determined by dividing the range of the data (the difference between the maximum and minimum values) by the number of classes, ensuring that intervals are of equal width. Additionally, practical considerations, such as the nature of the data and the level of detail desired, should also influence the final decision on class size.

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3mo ago

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