Which distribution has the majority of scores at the lower end of the range?

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Multiple Choice

Which distribution has the majority of scores at the lower end of the range?

Explanation:
Skewness describes how a distribution bends or tilts away from symmetry. When most scores cluster at the lower end and a few very high scores stretch the range to the right, the tail is longer on the high end. This pattern is positive skew, because the bulk is at the low end with a rightward extension. A negatively skewed distribution would have most scores at the high end with a longer left tail, a normal distribution is symmetric, and a vague “skewed” label doesn’t specify the direction.

Skewness describes how a distribution bends or tilts away from symmetry. When most scores cluster at the lower end and a few very high scores stretch the range to the right, the tail is longer on the high end. This pattern is positive skew, because the bulk is at the low end with a rightward extension. A negatively skewed distribution would have most scores at the high end with a longer left tail, a normal distribution is symmetric, and a vague “skewed” label doesn’t specify the direction.

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