What does a right-skewed histogram indicate about the data distribution?

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Multiple Choice

What does a right-skewed histogram indicate about the data distribution?

Explanation:
Skewness describes how the tail of a distribution extends. In a right-skewed histogram, most data cluster on the left with a long tail stretching to the right due to a few unusually large values. That pull tends to raise the average (mean) above the middle value (median), so the mean is typically higher than the median. This is why the description of a longer tail on the right and the mean being higher than the median fits best. If the tail were on the left, the mean would usually be lower than the median; a perfectly symmetric distribution would have mean and median about the same; a bimodal distribution shows two peaks rather than a single central tendency pattern.

Skewness describes how the tail of a distribution extends. In a right-skewed histogram, most data cluster on the left with a long tail stretching to the right due to a few unusually large values. That pull tends to raise the average (mean) above the middle value (median), so the mean is typically higher than the median. This is why the description of a longer tail on the right and the mean being higher than the median fits best. If the tail were on the left, the mean would usually be lower than the median; a perfectly symmetric distribution would have mean and median about the same; a bimodal distribution shows two peaks rather than a single central tendency pattern.

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