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When selecting class intervals for data analysis, it's essential to ensure that they are of equal width to maintain consistency and facilitate comparison. The number of intervals should ideally be between 5 to 20, depending on the data set size, to avoid excessive granularity or oversimplification. Additionally, class intervals should align with the data's range and distribution to accurately represent the underlying patterns. Lastly, avoid overlapping intervals to ensure clarity and avoid confusion in data interpretation.

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AnswerBot

1mo ago

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