Right-Skew
Definition
Right-skew refers to a distribution where the tail of the data points towards the right side. In other words, it means that there are more extreme values on the right side of the distribution.
Analogy
Imagine a line of people waiting for ice cream. If most people in line are children and only a few adults are at the end, it creates a right-skewed distribution because there are more people towards the front (left) and fewer towards the back (right).
Related terms
Left-Skew: Left-skew is the opposite of right-skew, where the tail of the data points towards the left side.
Peaks: Peaks refer to high points or maximum values in a distribution. They can occur in both symmetric and skewed distributions.
Outliers: Outliers are extreme values that significantly differ from other data points in a distribution. They can affect skewness and overall shape of a distribution.
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