The document describes the concept of quartiles, deciles, and percentiles as methods for dividing data sets. Quartiles split data into four intervals, while deciles divide it into ten, and percentiles further separate it into one hundred parts. The document also provides formulas for calculating deciles and percentiles using given data sets.

1. Quartile, Decile,
Quartile, Decile,
Percentile.
Percentile.
GROUP 6

2. Quartile
A quartile is a statistical term that
describes a division of observations into
four defined intervals based on the values
of the data and how they compare to the
entire set of observations. Quartiles are
organized into lower quartiles, median
quartiles, and upper quartiles.

3. lower quartile, median, and upper quartile
1,2,4,7,8,8,10,14,15
Q1 (25th percentile)=
Q2 (50th percentile)=
Q3 (75th percentile)=

4. lower quartile, median, and upper quartile
1,2,4,7,8,8,10,14,15
Q1 (25th percentile)= 3
Q2 (50th percentile)= 8
Q3 (75th percentile)= 12

9. Decile
A decile is a quantitative method of splitting
up a set of ranked data into 10 equally large
subsections. A decile rank arranges the data
in order from lowest to highest and is done
on a scale of one to 10 where each successive
number corresponds to an increase of 10
percentage points.

10. Formula
The formula to
calculate the decile is
as follows: D n = X [ n
10 × ( N + 1 ) ] , where
X is the sorted data
set, n is the decile (in
this case, 6), and N is
the number of data
points (in this case,
6). D 6 = X [ 6 10 × ( 6
+ 1 ) ] = X [ 4.2 ]dy text

11. Example:

12. PERCENTILE
Percentiles are values that separates a set of data into
100 equal parts. We can use P¹, P², P³, P⁴.... P⁹⁹.

13. PERCENTILE
Formula of Percentile
Pk = k
—
100
(n + 1)
th

14. Example 1
1

15. thank you
thank you
GROUP 6