Under what conditions would the median be a better measure of central tendency than the mean?
- When the data has an even number of observations
- When the data has outliers or is skewed
- When the data is normally distributed
- When the data is uniformly distributed
The median would be a better measure of central tendency than the mean when the data has outliers or is skewed. In these cases, the mean can be heavily influenced by the extreme values, while the median, being the middle value, remains more robust and representative of the central location of the data.
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