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Median Example for grouped data ( Enter your problem )
  1. Formula & Example
  2. Mean Example
  3. Median Example
  4. Mode Example
Other related methods
  1. Mean, Median and Mode
  2. Quartile, Decile, Percentile, Octile, Quintile
  3. Population Variance, Standard deviation and coefficient of variation
  4. Sample Variance, Standard deviation and coefficient of variation
  5. Population Skewness, Kurtosis
  6. Sample Skewness, Kurtosis
  7. Geometric mean, Harmonic mean
  8. Mean deviation, Quartile deviation, Decile deviation, Percentile deviation
  9. Five number summary
  10. Box and Whisker Plots
  11. Mode using Grouping Method
  12. Less than type Cumulative frequency table
  13. More than type Cumulative frequency table
  14. Class and their frequency table

2. Mean Example
(Previous example)
4. Mode Example
(Next example)

3. Median Example





Median of grouped data
Median of discrete frequency distribution
If `n` is odd, then
`M=` value of `((n+1)/2)^(th)` observation

If `n` is even, then
`M=(text{Value of } (n/2)^(th) text{ observation} + text{Value of } (n/2 + 1)^(th) text{ observation})/2`


1. Calculate Median from the following grouped data
XFrequency
01
15
210
36
43


Solution:
`x`
`(1)`
Frequency `(f)`
`(2)`
`cf`
`(5)`
011
156
21016
3622
4325
---------
`n=25`--


Median :
M = value of `((n+1)/2)^(th)` observation

= value of `(26/2)^(th)` observation

= value of `13^(th)` observation

From the column of cumulative frequency `cf`, we find that the `13^(th)` observation is `2`.

Hence, the median of the data is `2`.


2. Calculate Median from the following grouped data
XFrequency
103
1112
1218
1312
143


Solution:
`x`
`(1)`
Frequency `(f)`
`(2)`
`cf`
`(5)`
1033
111215
121833
131245
14348
---------
`n=48`--


Median :
M = value of `((n+1)/2)^(th)` observation

= value of `(49/2)^(th)` observation

= value of `24.5^(th)` observation

From the column of cumulative frequency `cf`, we find that the `24.5^(th)` observation is `12`.

Hence, the median of the data is `12`.


Median of continuous frequency distribution
To find Median class, we find cumulative frequencies of all classes and then find `n/2`.
The class whose cumulative frequency is `>= n/2` is called Median class

Median `M = L + (n/2 - cf)/f * c`
where
`:. L = `lower boundary point of median class

`:. n = `Total frequency

`:. cf = `Cumulative frequency of the class preceding the median class

`:. f = `Frequency of the median class

`:. c = `class length of median class


3. Calculate Median from the following grouped data
ClassFrequency
2 - 43
4 - 64
6 - 82
8 - 101


Solution:
Class
`(1)`
Frequency `(f)`
`(2)`
`cf`
`(6)`
2-433
4-647
6-829
8-10110
---------
--`n = 10`--


To find Median Class
= value of `(n/2)^(th)` observation

= value of `(10/2)^(th)` observation

= value of `5^(th)` observation

From the column of cumulative frequency `cf`, we find that the `5^(th)` observation lies in the class `4 - 6`.

`:.` The median class is `4 - 6`.

Now,
`:. L = `lower boundary point of median class `=4`

`:. n = `Total frequency `=10`

`:. cf = `Cumulative frequency of the class preceding the median class `=3`

`:. f = `Frequency of the median class `=4`

`:. c = `class length of median class `=2`

Median `M = L + (n/2 - cf)/f * c`

`=4 + (5 - 3)/4 * 2`

`=4 + (2)/4 * 2`

`=4 + 1`

`=5`


4. Calculate Median from the following grouped data
ClassFrequency
0 - 25
2 - 416
4 - 613
6 - 87
8 - 105
10 - 124


Solution:
Class
`(1)`
Frequency `(f)`
`(2)`
`cf`
`(6)`
0-255
2-41621
4-61334
6-8741
8-10546
10-12450
---------
--`n = 50`--


To find Median Class
= value of `(n/2)^(th)` observation

= value of `(50/2)^(th)` observation

= value of `25^(th)` observation

From the column of cumulative frequency `cf`, we find that the `25^(th)` observation lies in the class `4 - 6`.

`:.` The median class is `4 - 6`.

Now,
`:. L = `lower boundary point of median class `=4`

`:. n = `Total frequency `=50`

`:. cf = `Cumulative frequency of the class preceding the median class `=21`

`:. f = `Frequency of the median class `=13`

`:. c = `class length of median class `=2`

Median `M = L + (n/2 - cf)/f * c`

`=4 + (25 - 21)/13 * 2`

`=4 + (4)/13 * 2`

`=4 + 0.6154`

`=4.6154`


5. Calculate Median from the following grouped data
ClassFrequency
10 - 2015
20 - 3025
30 - 4020
40 - 5012
50 - 608
60 - 705
70 - 803


Solution:
Class
`(1)`
Frequency `(f)`
`(2)`
`cf`
`(7)`
10 - 201515
20 - 302540
30 - 402060
40 - 501272
50 - 60880
60 - 70585
70 - 80388
---------
`n = 88`-----


To find Median Class
= value of `(n/2)^(th)` observation

= value of `(88/2)^(th)` observation

= value of `44^(th)` observation

From the column of cumulative frequency `cf`, we find that the `44^(th)` observation lies in the class `30 - 40`.

`:.` The median class is `30 - 40`.

Now,
`:. L = `lower boundary point of median class `=30`

`:. n = `Total frequency `=88`

`:. cf = `Cumulative frequency of the class preceding the median class `=40`

`:. f = `Frequency of the median class `=20`

`:. c = `class length of median class `=10`

Median `M = L + (n/2 - cf)/f * c`

`=30 + (44 - 40)/20 * 10`

`=30 + (4)/20 * 10`

`=30 + 2`

`=32`


6. Calculate Median from the following grouped data
ClassFrequency
20 - 25110
25 - 30170
30 - 3580
35 - 4045
40 - 4540
45 - 5035


Solution:
Class
`(1)`
Frequency `(f)`
`(2)`
`cf`
`(7)`
20 - 25110110
25 - 30170280
30 - 3580360
35 - 4045405
40 - 4540445
45 - 5035480
---------
`n = 480`-----


To find Median Class
= value of `(n/2)^(th)` observation

= value of `(480/2)^(th)` observation

= value of `240^(th)` observation

From the column of cumulative frequency `cf`, we find that the `240^(th)` observation lies in the class `25 - 30`.

`:.` The median class is `25 - 30`.

Now,
`:. L = `lower boundary point of median class `=25`

`:. n = `Total frequency `=480`

`:. cf = `Cumulative frequency of the class preceding the median class `=110`

`:. f = `Frequency of the median class `=170`

`:. c = `class length of median class `=5`

Median `M = L + (n/2 - cf)/f * c`

`=25 + (240 - 110)/170 * 5`

`=25 + (130)/170 * 5`

`=25 + 3.8235`

`=28.8235`




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