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How do outliers affect measures of center? - Answers

Outliers can significantly skew measures of center, such as the mean, by pulling the average in their direction, which may not represent the overall data well. For instance, a single extremely high or low value can distort the mean, making it less reflective of the typical values in the dataset. In contrast, the median is more robust against outliers, as it focuses on the middle value, thus providing a more accurate measure of central tendency in such cases. Overall, the presence of outliers necessitates careful consideration when interpreting measures of center.



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How do outliers affect measures of center? - Answers

https://math.answers.com/math-and-arithmetic/How_do_outliers_affect_measures_of_center

Outliers can significantly skew measures of center, such as the mean, by pulling the average in their direction, which may not represent the overall data well. For instance, a single extremely high or low value can distort the mean, making it less reflective of the typical values in the dataset. In contrast, the median is more robust against outliers, as it focuses on the middle value, thus providing a more accurate measure of central tendency in such cases. Overall, the presence of outliers necessitates careful consideration when interpreting measures of center.



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https://math.answers.com/math-and-arithmetic/How_do_outliers_affect_measures_of_center

How do outliers affect measures of center? - Answers

Outliers can significantly skew measures of center, such as the mean, by pulling the average in their direction, which may not represent the overall data well. For instance, a single extremely high or low value can distort the mean, making it less reflective of the typical values in the dataset. In contrast, the median is more robust against outliers, as it focuses on the middle value, thus providing a more accurate measure of central tendency in such cases. Overall, the presence of outliers necessitates careful consideration when interpreting measures of center.

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      Outliers can significantly skew measures of center, such as the mean, by pulling the average in their direction, which may not represent the overall data well. For instance, a single extremely high or low value can distort the mean, making it less reflective of the typical values in the dataset. In contrast, the median is more robust against outliers, as it focuses on the middle value, thus providing a more accurate measure of central tendency in such cases. Overall, the presence of outliers necessitates careful consideration when interpreting measures of center.

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