Which distribution is described as scores concentrated in the high end (right) of the distribution?

• A. Negatively skewed
• B. Positively skewed
• C. Normal distribution
• D. Uniform distribution

Answer: (A)

When most scores cluster on the high end and there are fewer scores toward the low end, the distribution is negatively skewed. This means the bulk of the data sits to the right, while the tail extends to the left. The left tail pulls the mean downward relative to the median, which is why the high concentration fits negative skew. In contrast, a positively skewed distribution has most scores on the low end with a long tail to the high end; a normal distribution is symmetrical with data balanced on both sides; a uniform distribution would show roughly equal frequencies across the range.