For any score in the distribution, we can find its percentile rank by counting the number of scores in the distribution that are lower than that score and converting that number to a percentage of the total number of scores. Percentiles are useful for comparing values.Ĭonsider, for example, the distribution of Rosenberg Self-esteem scores we used in chapter 2. The percentile rank of a score is the percentage of scores in the distribution that are lower than that score. In many situations, it is useful to have a way to describe the location of an individual score within its distribution. Moving forward, we now turn our attention to how scores within a distribution are related to one another, how to precisely describe a score’s location within the distribution, and how to compare scores from different distributions. These simple tools, and the principles behind them, will help you interpret information presented to you and understand the basics of a variable. We now understand how to describe and present our data visually and numerically.
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