A positively skewed distribution is characterized by which tail direction?

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Multiple Choice

A positively skewed distribution is characterized by which tail direction?

Explanation:
In a positively skewed distribution, the long tail stretches toward higher values, on the right side of the distribution. Most data cluster on the left, with a few large values pulling the tail to the right. This rightward tail is what defines positive skew, and it aligns with the description that the tail points to the right (positive direction). A tail to the left would be negative skew, and a symmetric bell curve indicates no skew at all.

In a positively skewed distribution, the long tail stretches toward higher values, on the right side of the distribution. Most data cluster on the left, with a few large values pulling the tail to the right. This rightward tail is what defines positive skew, and it aligns with the description that the tail points to the right (positive direction). A tail to the left would be negative skew, and a symmetric bell curve indicates no skew at all.

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