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Percentiles
Percentiles are positional measures used mainly in
educational and health-related fields to indicate the
position of an individual in a group.
For example, the graphs and tables show the
percentiles for various measures such as test scores,
height or weight.
Percentiles (denoted
Px) divide a set of data
into 100 equal parts.
They are used as
positional measures
to indicate what
percent of the data
set have a value less
than a specified value.
Percentiles are not the same as percentages.
For example, if a student gets 72 correct
answers out of 100 on a test they earn 72%.
If a score of 72 correct answers corresponds to
the 64th percentile, then they did better than
64% of the students in the class, but still
received a score of 72%.
80% of the people are
shorter than “you”
Special Cases
•The median is the value that is
in the halfway position of a
data set. Median = P50
•The quartiles are the values
that are in the quarter
positions of a data set.
First Quartile = Q1 = P25
Third Quartile = Q2 = P75
•The deciles are the values that
are in the positions that
divided the data into 10 pieces.
D1 = P10
D2 = P20
…
D10 = P100
Some frequently used percentiles have specific names:
Formula
Provided data is ordered least to
greatest, the position number of
the percentiles can be calculated
using the formula:
With percentiles, there are two items
of interest:
1. the position of the percentile
(found using the formula), and
2. the value of the percentile (for
example, P50 = 139, means the 50th
percentile has a value
 
1
Position number of P
100
x
n
x


Calculating Percentiles
The following data lists the
number of calories in 22
manufactures vanilla-flavoured
ice cream bars.
Given the data above
determine:
a) the median
b) the first quartile
c) the third quartiles
d) the fourth decile
Calculating Percentiles
a) the median
 50
22 1
Position number of P 50
100
11.5



 
 
th th th
50P 11 value + 0.5 12 value -11 value
209 0.5 234 209
221.5

  

11th & 12th
positions
Calculating Percentiles
b) the first quartile
 25
22 1
Position number of P 25
100
5.75



 
 
th th th
25P 5 value + 0.75 6 value -5 value
151 0.75 179 151
172

  

5th & 6th
positions
Calculating Percentiles
c) the third quartile
 75
22 1
Position number of P 75
100
17.25



 
 
th th th
75P 17 value + 0.25 18 value -17 value
319 0.25 337 319
323.5

  

17th & 18th
positions
Calculating Percentiles
d) the fourth decile
 40
22 1
Position number of P 40
100
9.2



 
 
th th th
40P 9 value + 0.2 10 value -9 value
197 0.2 201 197
197.8

  

9th & 10th
positions

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Lesson 2 percentiles

  • 2. Percentiles are positional measures used mainly in educational and health-related fields to indicate the position of an individual in a group. For example, the graphs and tables show the percentiles for various measures such as test scores, height or weight.
  • 3. Percentiles (denoted Px) divide a set of data into 100 equal parts. They are used as positional measures to indicate what percent of the data set have a value less than a specified value. Percentiles are not the same as percentages. For example, if a student gets 72 correct answers out of 100 on a test they earn 72%. If a score of 72 correct answers corresponds to the 64th percentile, then they did better than 64% of the students in the class, but still received a score of 72%. 80% of the people are shorter than “you”
  • 4. Special Cases •The median is the value that is in the halfway position of a data set. Median = P50 •The quartiles are the values that are in the quarter positions of a data set. First Quartile = Q1 = P25 Third Quartile = Q2 = P75 •The deciles are the values that are in the positions that divided the data into 10 pieces. D1 = P10 D2 = P20 … D10 = P100 Some frequently used percentiles have specific names:
  • 5. Formula Provided data is ordered least to greatest, the position number of the percentiles can be calculated using the formula: With percentiles, there are two items of interest: 1. the position of the percentile (found using the formula), and 2. the value of the percentile (for example, P50 = 139, means the 50th percentile has a value   1 Position number of P 100 x n x  
  • 6. Calculating Percentiles The following data lists the number of calories in 22 manufactures vanilla-flavoured ice cream bars. Given the data above determine: a) the median b) the first quartile c) the third quartiles d) the fourth decile
  • 7. Calculating Percentiles a) the median  50 22 1 Position number of P 50 100 11.5        th th th 50P 11 value + 0.5 12 value -11 value 209 0.5 234 209 221.5      11th & 12th positions
  • 8. Calculating Percentiles b) the first quartile  25 22 1 Position number of P 25 100 5.75        th th th 25P 5 value + 0.75 6 value -5 value 151 0.75 179 151 172      5th & 6th positions
  • 9. Calculating Percentiles c) the third quartile  75 22 1 Position number of P 75 100 17.25        th th th 75P 17 value + 0.25 18 value -17 value 319 0.25 337 319 323.5      17th & 18th positions
  • 10. Calculating Percentiles d) the fourth decile  40 22 1 Position number of P 40 100 9.2        th th th 40P 9 value + 0.2 10 value -9 value 197 0.2 201 197 197.8      9th & 10th positions