In a negatively skewed distribution, most scores are clustered toward the high end.

In a negatively skewed distribution, most scores are clustered toward the high end.

• A. True
• B. False
• C. Not applicable
• D. Cannot determine

Answer: (A)

In a negatively skewed (left-skewed) distribution, the tail extends to the left and most scores pile up toward the higher end of the scale. A few low scores pull the tail left, which lowers the mean more than the median, while the peak of the distribution sits at higher values. Because the bulk of observations are at the high end, the statement that most scores are clustered there is correct.

In a negatively skewed (left-skewed) distribution, the tail extends to the left and most scores pile up toward the higher end of the scale. A few low scores pull the tail left, which lowers the mean more than the median, while the peak of the distribution sits at higher values. Because the bulk of observations are at the high end, the statement that most scores are clustered there is correct.