Which statement about a right-skewed histogram is true?

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Multiple Choice

Which statement about a right-skewed histogram is true?

Explanation:
Skewness shows where most data lie and which direction the tail extends. A right-skewed histogram has its tail stretching to higher values, meaning the bulk of observations are on the left with a few unusually large values pulling the tail to the right. That’s exactly what the statement describes: most data concentrated on the left with a tail on the right. If the data were concentrated on the right with a left tail, it would be left-skewed; an evenly distributed or bell-shaped histogram implies symmetry, not skewness.

Skewness shows where most data lie and which direction the tail extends. A right-skewed histogram has its tail stretching to higher values, meaning the bulk of observations are on the left with a few unusually large values pulling the tail to the right. That’s exactly what the statement describes: most data concentrated on the left with a tail on the right. If the data were concentrated on the right with a left tail, it would be left-skewed; an evenly distributed or bell-shaped histogram implies symmetry, not skewness.

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