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What is the advantage of median over mean?1 pointMedian is more outlier resistent. Odd values influence median less than mean.Mean is more outlier resistent. Odd values influence mean less than median.

Question

What is the advantage of median over mean?1 pointMedian is more outlier resistent. Odd values influence median less than mean.Mean is more outlier resistent. Odd values influence mean less than median.

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Solution

The advantage of the median over the mean is that the median is more resistant to outliers. This means that extreme values or anomalies affect the median less than they do the mean. In other words, the median is less influenced by odd or extreme values. On the other hand, the mean is more sensitive to such values, meaning that it can be greatly affected by just a few outliers. Therefore, in a dataset with extreme values, the median can often give a better sense of the central tendency than the mean.

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Similar Questions

What is the main advantage of using the median instead of the mean?It is always higherIt is less affected by outliersIt is easier to calculateIt provides more information

Which of the following is true for a median?Group of answer choicesA median is only meaningful for interval or ordinal data and not for ratio data.Medians can be calculated no matter how the data is arranged.Medians are affected by outliers.For an even number of observations, the median is the mean of the two middle numbers.

How do outliers affect the mean, median, and mode?

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One reason it might be preferable to use the median rather than the mean for simple imputation of numerical data isGroup of answer choicesCalculation of the median is less affected by outliers such as very large values.Calculation of the median is more affected by outliers such as very large valuesThe median is faster to compute than the mean.The median is hardly every used in data science.

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