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Class boundaries are the values that separate different classes or categories in a frequency distribution. They are used to define the limits of each class interval, ensuring that there is no overlap between classes. For example, in a class interval of 10-19, the class boundaries would typically be 9.5 and 19.5, allowing for precise categorization of data points. Properly setting class boundaries helps in accurate data analysis and representation.

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1w ago

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