A histogram with a right-skewed distribution indicates...

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Multiple Choice

A histogram with a right-skewed distribution indicates...

Right-skewed distributions have a long tail on the higher-value side, so the bulk of observations cluster at the lower end. That means most data are concentrated on the left, with a few unusually large values stretching the tail to the right. In such cases, the mean is typically pulled above the median by those large values. The other shapes don’t fit: a tail on the left would be left-skewed, a symmetric histogram has no skew, and a bimodal shape has two peaks rather than a single tail extending to the right.

Right-skewed distributions have a long tail on the higher-value side, so the bulk of observations cluster at the lower end. That means most data are concentrated on the left, with a few unusually large values stretching the tail to the right. In such cases, the mean is typically pulled above the median by those large values. The other shapes don’t fit: a tail on the left would be left-skewed, a symmetric histogram has no skew, and a bimodal shape has two peaks rather than a single tail extending to the right.

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