Again, the mean reflects the skewing the most. 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.

What is the effect of skewed data?

Effects of skewness

So in skewed data, the tail region may act as an outlier for the statistical model and we know that outliers adversely affect the model's performance especially regression-based models.

Is mean Good for skewed data?

In a strongly skewed distribution, what is the best indicator of central tendency? It is usually inappropriate to use the mean in such situations where your data is skewed. You would normally choose the median or mode, with the median usually preferred.