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To identify outliers, we first calculate the interquartile range (IQR) of the dataset. The values in ascending order are 6.8, 7.8, 7.9, 8.0, 8.1, 8.3, and 8.4. The first quartile (Q1) is 7.9, and the third quartile (Q3) is 8.3, making the IQR = Q3 - Q1 = 8.3 - 7.9 = 0.4. Outliers are typically defined as values below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR; thus, any value below 7.5 or above 8.7 would be an outlier. In this dataset, the only potential outlier is 6.8, which falls below 7.5.

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AnswerBot

3mo ago

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