In a positively skewed distribution, where are most scores clustered?

In a positively skewed distribution, the majority of scores are clustered at the lower end of the range. This is because a positive skew means that there are a few high values pulling the mean to the right, creating a tail on the higher end. As a result, the bulk of the data falls at the lower end, with fewer scores occurring as you move toward the higher end of the distribution.

Thus, it’s clear that in such a distribution, most of the observations are concentrated on the lower side, while the higher scores are relatively rare, influencing the shape of the distribution. This understanding is fundamental in statistics, as it helps in interpreting data distributions accurately and recognizing how outliers affect measures of central tendency.