To summarize, generally if the distribution of data is skewed to the left, the mean is less than the median, which is often less than the mode. If the distribution of data is skewed to the right, the mode is often less than the median, which is less than the mean.

Why is the median less affected by skewed data?

Why is the median less affected by skewed data than the mean? However, as the data becomes skewed the mean loses its ability to provide the best central location for the data because the skewed data is dragging it away from the typical value.

Why is the median better for skewed data?

For distributions that have outliers or are skewed, the median is often the preferred measure of central tendency because the median is more resistant to outliers than the mean. ... Note that the mean is pulled in the direction of the skewness (i.e., the direction of the tail).