What does a positively skewed distribution indicate about the lower scores?

A positively skewed distribution indicates that most of the data points (or scores) are clustered toward the lower end of the scale (the left side), while a few higher scores pull the mean to the right. This means that the lower scores are more frequent and concentrated on the left side of the distribution.

In a positively skewed distribution, the tail on the right side is longer or fatter than the left side, reflecting a scattering of higher values. Therefore, the correct answer highlights that lower scores dominate the distribution, with only a few higher scores extending towards the right.

To summarize, the definition of a positively skewed distribution fundamentally involves the concentration of lower scores on the left, which influences the mean to be higher than the median in this scenario. It is crucial to understand that while the higher scores have an impact, they do not represent the bulk of the data.