If a distribution is not symmetric and has a tail predominantly on one side, which feature is describing this shape?

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Multiple Choice

If a distribution is not symmetric and has a tail predominantly on one side, which feature is describing this shape?

Explanation:
Skewness is the measure of asymmetry in a distribution. When a distribution isn’t symmetric and has a tail predominantly on one side, that shape is described by skewness. If the tail stretches to the right, it’s right-skewed; if it stretches to the left, it’s left-skewed. The mean, median, and mode are all measures of center, and while their relative values can shift in skewed distributions, they do not describe the asymmetry itself.

Skewness is the measure of asymmetry in a distribution. When a distribution isn’t symmetric and has a tail predominantly on one side, that shape is described by skewness. If the tail stretches to the right, it’s right-skewed; if it stretches to the left, it’s left-skewed. The mean, median, and mode are all measures of center, and while their relative values can shift in skewed distributions, they do not describe the asymmetry itself.

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