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When the distribution is not symmetrical, the median is typically the preferred measure of central tendency because it is less impacted by outliers and skewed data than the mean.
What is median?
The median is the value that divides a population, a sample of data, or a probability distribution into its higher and lower halves. It could be referred to as "the middle" value for a data set.
The fundamental difference between the mean and the median when describing data is that the median is more representative of the "normal" value because it is not skewed by a tiny fraction of exceptionally big or small values.
Due to the fact that income distribution can be very skewed, the median income, for instance, might be a better indicator of what is considered a "normal" income.
In robust statistics, the median is crucial because it is the most resilient statistic with a breakdown point of.
Hence, When the distribution is not symmetrical, the median is typically the preferred measure of central tendency because it is less impacted by outliers and skewed data than the mean.
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