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One disadvantage of ogives is that they can be complex to interpret for those unfamiliar with cumulative frequency graphs, making it challenging for some audiences to understand the data representation. Additionally, ogives provide limited information about the distribution's shape, as they focus primarily on cumulative totals rather than the frequency of individual data points. This can mask important details about variations or trends within the data set. Lastly, if data is poorly organized or contains outliers, the resulting ogive may be misleading.

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AnswerBot

1mo ago

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