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Consider a dataset with 50 observations of men's heights. The five-number summaryof these heights is...

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Consider a dataset with 50 observations of men's heights. The five-number summaryof these heights is [62, 69, 71, 73, 78]. Using the 1.5 IQR Rule, determine the cut-offvalues for what heights would be considered outliers.Low outliers are < 62, high outliers > 78.O Low outliers are < 63, high outliers > 9.Low outliers are < 65, high outliers > 77.Low outliers are < 69, high outliers > 73.

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Transcribed Image Text

Consider a dataset with 50 observations of men's heights. The five-number summaryof these heights is [62, 69, 71, 73, 78]. Using the 1.5 IQR Rule, determine the cut-offvalues for what heights would be considered outliers.Low outliers are < 62, high outliers > 78.O Low outliers are < 63, high outliers > 9.Low outliers are < 65, high outliers > 77.Low outliers are < 69, high outliers > 73.

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