Which distribution has the majority of scores on the higher end of the range?

• A. Negatively skewed
• B. Positively skewed
• C. Normal
• D. Skewed

Answer: (B)

Skewness describes asymmetry in a distribution and where most of the data cluster relative to the center. When the majority of scores lie toward the higher end of the range, this item labels the distribution as positively skewed. In this framing, the pattern is not symmetric and the bulk of observations sit at higher values, which is why this choice best fits the description given. The other descriptions don’t match the specified pattern: a negatively skewed distribution would have most scores toward the lower end, a normal distribution is symmetric, and simply saying a distribution is skewed doesn’t specify the direction of the skew.