OGIVE CURVES
OGIVE CURVES
Ogive curves are cumulative frequency curves. There
are two types of Ogive curves: Less than type and more than type. The
construction of these curves is done as below. In the following table class of
marks are given with frequency of students in each class.
Construction of less than Ogive curve: Start form
the upper limit of the first class and write down “less than 10” 20, 30
------in the column. The point on the graph will be upper limit of the
respective class which is shown in a separate column. Now in the next column
(5) we need to write number of students obtained less than 10 marks. In our
case it is 10. In the next row “less than 20” we have to add number of students
in the class 0-10 and 10-20. This process shall be completed till end. It is
just cumulative addition of frequencies. Now taking upper limit and cumulative
frequency as co-ordinates of X and Y axis draw the graph.
Construction of more than Ogive curve: Start form
the lower limit of the first class and write down “more than and equal to 0”
10, 20, 30 ------in the column. As lower limit is considered in the class
interval we have taken it as ‘more than and equal to’ instead of simply ‘more
than’. The lower limits are written in a
separate column (7). Now in the next column (8) we need to write number of
students obtained more than or equal to 0 marks. This means all students = 200
Nos. In the next row of column (8) we need to deduct frequency of the previous
class. In our case it is 200-2 = 198. This process shall be completed till end.
It is just cumulative addition of frequencies from bottom. Now taking lower
limit and cumulative frequency as co-ordinates of X and Y axis draw the graph.
Given
|
Less than Ogive frequency distribution
|
Less than Ogive frequency distribution
|
|||||
Class of marks
|
Frequency of students
|
Less than limit
|
point
on graph
|
Cumulative frequency ( Less than Ogive)
|
More than limit
|
point
on graph
|
Cumulative frequency (More than Ogive)
|
(1)
|
(2)
|
(3)
|
(4)
|
(5)
|
(6)
|
(7)
|
(8)
|
0-10
|
2
|
Less than 10
|
10
|
2
|
More than or equal to or equal to 0
|
0
|
200
|
.10-20
|
5
|
Less than 20
|
20
|
7
|
More than or equal to 10
|
10
|
198
|
20-30
|
12
|
Less than 30
|
30
|
19
|
More than or equal to 20
|
20
|
193
|
30-40
|
21
|
Less than 40
|
40
|
40
|
More than or equal to 30
|
30
|
181
|
40-50
|
38
|
Less than 50
|
50
|
78
|
More than or equal to 40
|
40
|
160
|
50-60
|
60
|
Less than 60
|
60
|
138
|
More than or equal to 50
|
50
|
122
|
60-70
|
33
|
Less than 70
|
70
|
171
|
More than or equal to 60
|
60
|
62
|
70-80
|
19
|
Less than 80
|
80
|
190
|
More than or equal to 70
|
70
|
29
|
80-90
|
7
|
Less than 90
|
90
|
197
|
More than or equal to 80
|
80
|
10
|
90-100
|
3
|
Less than 100
|
100
|
200
|
More than or equal to 90
|
90
|
3
|
Total
|
200
|
Application/ use of Ogive curves: On the basis of graph
we can find out Median as it is intersection of the both (less than and more
than) curves. Various partition values such as: Q1, Q3 (First and third
quartiles), Deciles such as D6, D4 and percentiles such as P5 and P95 can be
directly obtained from the less than type Ogive curve. These quartile values
are important for construction of Box-plot. We can also find out the percentage
of the distribution that falls below or above a given value. How many students
got less than 50 marks or 70 marks can be known by using this curve. Similarly
answers to the questions how many students obtained more than or equal to 50
marks or 70 marks can be obtained from more than Ogive curve.
A company has 300 employees getting different pay
scale depending upon experience, work importance and education. Then the
question how many employees are getting payment less than Rs. 12000/- or above
50,000/- can be known using this graph. Similarly the median and quartile
values can be defined.
Dr. Rajeshwar W. Hendre 7709063121, rajeshwar.hendre1966@gmail.com
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