What are the advantages of frequency polygons?

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  • J

    Answered by

    Jaya Sharma | Contributor-Level 10

    2 months ago

    The following points highlight the importance of frequency polygons:

    • Frequency polygons are useful for comparing distributions of multiple datasets on the same graph. It becomes easy to visually compare shapes and trends of different datasets by overlaying multiple frequency polygons.
    • These use lines to connect points which provide a continous representation of the data. It is easier to see patterns and trends over intervals through frequency polygons.
    • They can simplify the visualization of complex data which makes it easy to interpret the overshap and data distribution without distraction of bins or bars.
    • Line format of frequency polygon
    ...more

Similar Questions for you

A
alok kumar singh

Variance = x 2 n ( x ¯ ) 2  

6 0 2 + 6 0 2 + 4 4 2 + 5 8 2 + 6 8 2 + α 2 + β 2 + 5 6 2 8 = ( 5 8 ) 2 = 6 6 . 2            

7 2 0 0 + 1 9 3 6 + 3 3 6 4 + 4 6 2 4 + 3 1 3 6 + α 2 + β 2 8 = 3 3 6 4 = 6 6 . 2             

2 5 3 2 . 5 + α 2 + β 2 8 3 3 6 4 = 6 6 . 2            

α2 + β2 = 897.7 × 8

= 7181.6

A
alok kumar singh

xi

fi

c.f.

0 – 4

4 – 8

8 – 12

12 – 16

16 – 20

2

4

7

8

6

2

6

13

21

27

N = f = 2 7

( N 2 ) = 2 7 2 = 1 3 . 5

So, we have median lies in the class 12 – 16

I1 = 12, f = 8, h = 4, c.f. = 13

So, here we apply formula

M = I 1 + N 2 c . f . f × h = 1 2 + 1 3 . 5 1 3 8 × 4

= 1 2 + 5 2

M = 2 4 . 5 2 = 1 2 . 2 5

20 M = 20 × 12.25

= 245

A
alok kumar singh

  a + b + 6 8 + 4 4 + 4 0 + 6 0 6 = 5 5

212 + a + b = 330

a + b = 118

x i 2 n ( x ¯ ) 2 = 1 9 4          

a 2 + b 2 + ( 6 8 ) 2 + ( 4 4 ) 2 + ( 4 0 ) 2 + ( 6 0 ) 2 6 = ( 5 5 ) 2 = 1 9 4

= 3219

11760 + a2 + b2 = 19314

a2 + b2 = 19314 – 11760

= 7554

(a + b)2 –2ab = 7554

From here b = 41.795

a + b = 118

a + b + 2b = 118 + 83.59

= 201.59

A
alok kumar singh

Kindly go throuigh the solution

Given   i = 1 1 8 ( x i α ) = 3 6 i . e i = 1 1 8 x i 1 8 α = 3 6 . . . . . . . . . . ( i )

&       i = 1 1 8 ( x i β ) 2 = 9 0 i . e i = 1 1 8 x i 2 2 β x i + 1 8 β 2 = 9 0 . . . . . . . . . . . . . ( i i )      

(i) & (ii)   i = 1 1 8 x i 2 = 9 0 1 8 β + 3 6 β ( α + 2 ) . . . . . . . . . . . . . ( i i i )

Now variance σ 2 = x i 2 n ( x i n ) 2 = 1 given

->(a - b) (a - b + 4) = 0

Since α β s o | α β | = 4  

 

V
Vishal Baghel

M e a n = 3 + 1 2 + 7 + a + ( 4 3 a ) 5 = 1 3  

Variance = 3 2 + 1 2 2 + 7 2 + a 2 + ( 4 3 a ) 2 5 ( 1 3 ) 2  

2 a 2 a + 1 5 N a t u r a l n u m b e r      

Let 2a2 – a + 1 = 5x

D = 1 – 4 (2) (1 – 5n)

= 40n – 7, which is not 4 λ o r 4 λ + 1 f r o m .  

As each square form is 4 λ o r 4 λ + 1  

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