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A data set that is skewed left has a long tail on the left side of the distribution, with more data points on the right side. This means that the majority of the data points are concentrated on the right side of the distribution, which causes the tail to extend to the left.
For example, consider the following data set: 10, 20, 25, 30, 35, 40, 45, 50, 60, 70
In this data set, the majority of the data points are concentrated on the right side (50 and above), with fewer data points on the left side. This distribution is skewed left.