Summary: This module gives the definition of percentile along with several examples
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A test score in and of itself is usually difficult to interpret. For example, if you learned that your score on a measure of shyness were 35 out of a possible 50, you would have little idea how shy you are compared to other people. More relevant is the percentage of people with lower shyness scores than yours.
If 65% of the scores were below yours, then your score would be the 65th percentile.
There is no universally accepted definition of a percentile. Using the 65th percentile as an example, the 65th percentile can be defined as the lowest score that is greater than 65% of the scores. This is the way we defined it above and we will call this "Definition 1". The 65th percentile can also be defined as the smallest score that is greater than or equal to 65% of the scores. This we will call "Definition 2". Unfortunately, these two definitions can lead to dramatically different results, especially when there is relatively little data. Moreover, neither of these definitions is explicit about how to handle rounding. For instance, what score is required to be higher than 65% of the scores when the total number of scores is 50? This is tricky because 65% of 50 is 32.5. How do we find the lowest number that is less than 32.5% of the scores? A third way to compute percentiles (presented below), is a weighted average of the percentiles computed according to the first two definitions. This third definition handles rounding more gracefully than the other two and has the advantage that it allows the median (discussed later) to be defined conveniently as the 50th percentile.
Unless otherwise specified, when we refer to "percentile", we will be referring to this third definition of percentiles. Let's begin with an example.
Consider the 25th percentile for the 8 numbers in the table. Notice the numbers are given ranks ranging from 1 for the lowest number to 8 for the highest number.
| Number | Rank |
|---|---|
| 3 | 1 |
| 5 | 2 |
| 7 | 3 |
| 8 | 4 |
| 9 | 5 |
| 11 | 6 |
| 13 | 7 |
| 15 | 8 |
The first step is to compute the rank
(
Therefore, the 25th percentile is 5.5. If we had used the first definition (the smallest score greater than 25% of the scores) the 25th percentile would have been 7. If we had used the second definition ( the smallest score greater than or equal to 25% of the scores) the 25th percentile would have been 5.
For a second example, consider the 20 quiz scores in the table.
| Score | Rank |
|---|---|
| 4 | 1 |
| 4 | 2 |
| 5 | 3 |
| 5 | 4 |
| 5 | 5 |
| 5 | 6 |
| 6 | 7 |
| 6 | 8 |
| 6 | 9 |
| 7 | 10 |
| 7 | 11 |
| 7 | 12 |
| 8 | 13 |
| 8 | 14 |
| 9 | 15 |
| 9 | 16 |
| 9 | 17 |
| 10 | 18 |
| 10 | 19 |
| 10 | 20 |
We will compute the 25th and the 85th percentiles. For the
25th,
The 25th percentile equals
Finally, consider the 50th percentile of the numbers 2, 3, 5,
9, 11.
The 50th percentile equals