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.
Definition 1:
Percentile
The percentage with lower shyness scores than yours.
Example
If 65% of the scores were below yours, then your
score would be the 65th percentile.
Two Simple Definitions of 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.
A Third Definition
Unless otherwise specified, when we refer to "percentile", we
will be referring to this third definition of
percentiles. Let's begin with an example.
Example 1
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.
Test Scores
| 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
(
RR) of the 25th percentile.
This is done using the following formula:
R=P100N+1
R
P
100
N
1
where
PP is the desired
percentile (
2525 in this case)
and
NN is the number of numbers
(
88 in this case). Therefore,
R=251008+1=94=2.25
R
25
100
8
1
9
4
2.25
If
RR were an integer, the
PPthe percentile would be the
number with rank
RR. When
RR is not an integer, we
compute the
PPth percentile by
interpolation as follows:
- Define
IR
IR as the integer portion of
R
R (the number to the left
of the decimal point). For this example,
IR=2
IR
2
- Define
FR
FR as the fractional portion of
R
R. For this example,
FR=0.25
FR
0.25
- Find the scores with Rank
I
R
I
R
and with Rank
I
R
+1
I
R
1
For this example, this means the score with Rank 2 and the
score with Rank 3. The scores are 5 and 7.
- Interpolate by multiplying the difference between the
scores by
F
R
F
R
and add the result to the lower score. For
these data, this is
0.257-5+5=5.5
0.25
7
5
5
5.5
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.
Example 2
For a second example, consider the 20 quiz scores in the
table.
20 Quiz Scores
| 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,
R=2510020+1=214=5.25
R
25
100
20
1
21
4
5.25
IR=5
IR
5
FR=0.25
FR
0.25
Since the score with a rank of
IRIR (which is 5) and the score
with a rank of
IR+1
IR
1
(which is 6) are both equal to 5, the 25th
percentile is 5. In terms of the formula:
The 25th percentile equals
0.255-5+5=5
0.25
5
5
5
5
For the 85th percentile,
R=8510020+1=17.85
R
85
100
20
1
17.85
IR=17
IR
17
FR=0.85
FR
0.85
caution:
FR
FR does not generally equal the percentile to be
computed as it does here.
The score with a rank of 17 is 9 and the score with a rank of
18 is 10. Therefore, the 85th percentile is:
0.8510-9+9=9.85
0.85
10
9
9
9.85
Let's consider the 50th percentile of the numbers 2, 3, 5, 9.
R=501004+1=2.5
R
50
100
4
1
2.5
IR=2
IR
2
FR=0.5
FR
0.5
The score with a rank of
IR
IR is 3 and the score with a rank of
IR+1
IR
1
is 5. Therefore, the 50th percentile is:
0.55-3+3=4
0.5
5
3
3
4
Example 3
Finally, consider the 50th percentile of the numbers 2, 3, 5,
9, 11.
R=501005+1=3
R
50
100
5
1
3
IR=3
IR
3
FR=0
FR
0
Whenever
FR=0
FR
0
, you simply find the number with rank
IR
IR. In this case, the third number is equal to 5, so
the 50th percentile is 5. You will also get the right answer
if you apply the general formula:
The 50th percentile equals
0.009-5+5=5
0.00
9
5
5
5