When would you prefer to use the median instead of the mean as a measure of central tendency?
- When the data has outliers
- When the data is in large quantity
- When the data is normally distributed
- When the data is uniformly distributed
The median is preferred over the mean when our data is skewed or has outliers. Outliers can greatly affect the mean and create a distorted view of the data, but the median is not affected by outliers or skewed data. The median is the middle score for a set of data that has been arranged in order of magnitude, making it a better measure when dealing with skewed distributions.
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