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Suresh Babu G
Measures of Central Tendency
Suresh Babu G
Assistant Professor
CTE CPAS Paippad, Kottayam
Suresh Babu G
Measures of Central Tendency
• A measure of central tendency is a summary
statistic that represents the centre point or typical
value of a dataset.
• In statistics, the three most common measures of
central tendency are
1. Arithmetic Mean
2. Median
3. Mode
There are two more types of average ie, Geometric
Mean and Harmonic Mean
• Each of these measures calculates the location of
the central point using a different method.
Suresh Babu G
Arithmetic Mean
It is defined as the sum of the values of all
observations divided by the number of
observations and is usually denoted by X̅ .
If there are N observations as X1, X2, X3,…..Xn
N
Xn....X3X2X1
X


N
X
X
 Where ΣX = Sum of all observation
N = Total number of observation
Suresh Babu G
Arithmetic Mean for Ungrouped Data
Individual Series
Direct Method
Example:
Calculate Arithmetic Mean from the data showing
marks of students in a class in an psychology
test : 40, 50, 55, 78, 58.
N
X
X

2.565
5878555040
 
X
N
X
X

Suresh Babu G
Arithmetic Mean for Ungrouped Data
Discrete Series
Direct Method
N
fX
X

Suresh Babu G
Example
Calculate the AM from the following:
Mark No: of
students
fX
22 5 110
25 10 250
30 15 450
37 7 259
45 3 135
50 10 500
N = 50 Σfx = 1704
Marks 22 25 30 37 45 50
No: of students 5 10 15 7 3 10
N
fX
X


08.34
50
1704 X
08.34
50
1704

X
Suresh Babu G
Continuous Series
Direct Method
N
fm
or
N
fX
X 

Where M = Mid value
Suresh Babu G
Example:
From the following data calculate AM
Marks 0 - 10 10 - 20 20 - 30 30 - 40 40 - 50
No: of Students 5 3 7 25 20
Class Frequenc
y (f)
Mid value
(x)
fx
0 – 10 5 5 25
10 – 20 3 15 45
20 – 30 7 25 175
30 – 40 25 35 875
40 - 50 20 45 900
N = 60 Σfx = 2020
N
fX
X


67.33
60
2020


X
X
33.67
Suresh Babu G
Short Cut Method
N
fd
AX


Where
A = Assumed Mean
d = deveation of mid values from the
assumed mean d = m-A
N = Number of observations
N
fd
AX


Suresh Babu G
Example:
From the following data calculate AM
Marks 0 - 10 10 - 20 20 - 30 30 - 40 40 - 50
No: of Students 5 3 7 25 20
Class Freque
ncy (f)
Mid
value
(x)
d= x-A fd
0 – 10 5 5 -20 -100
10 – 20 3 15 -10 -30
20 – 30 7 25 0 0
30 – 40 25 35 10 250
40 - 50 20 45 20 400
N = 60 Σfd=520
25
A = 25
N
fd
AX


66.33
66.825
60
52025



X
X
Suresh Babu G
Median
Median is the middle element when the data set is
arranged in order of the magnitude.
Median of Ungrouped Data
Individual Series
Median = Size of item
Where N is number of observations
2
)1( N
th
Suresh Babu G
Example : The following data provides marks of
seven students. Calculate median
110, 115, 140, 117, 109, 113, 120
Arrange the data in ascending order
109, 110, 113, 115, 117, 120, 140
Median = Size of item
Median = Size of item = Size of item
Median = Size of 4 item
Median = 115
2
)1( N th
2
)17(  th
2
8
th
th
Suresh Babu G
Example 2 : Calculate the median
38, 24, 45, 50, 85, 60, 95, 40, 56, 63
Ascending order
24, 38, 40, 45, 50, 56, 60, 63, 85, 95
Median = Size of item
Median = Size of item = Size of item
Median = Size of 5.5 item
Median = 50 + 0.5(56-50) = 50 + 0.5 X 6 = 53
Median = 53
2
)1( N
2
)110( 
2
11
th th
th
th
Suresh Babu G
Median of Grouped Data
Discrete Series
Median = Size of item
Example:
Calculate Median
2
)1( N th
Marks No: of students
10 2
20 4
30 10
40 4
N = Total frequency
Suresh Babu G
Marks No: of students Cumulative
Frequency
10 2 2
20 4 6
30 10 16
40 4 20
Median = Size of item
Median = Size of item = Size of item
Median = Size of 10.5 item
10.5 is easily located at 16 of cf corresponding mark is 30
so Median =30
2
)1( N
th
2
)120( 
th
2
21
th
th
Suresh Babu G
Continues Series
Median =
Where L = Lower limit of the median class
cf = Cumulative frequency of the classes
preceding the median class
f = frequency of the median class
h = magnitude of the median class
interval
h
f
cfN
L 


)2/(
Suresh Babu G
Example: Find median
Marks No of Students
0 – 10 4
10 – 20 12
20 – 30 24
30 – 40 36
40 – 50 20
50 – 60 16
60 – 70 8
70 - 80 5
Suresh Babu G
Median =
Median = = = 30 + 6.25
Medan = 36.25
Marks No of
Students
Cumulative
Frequency
0 – 10 4 4
10 – 20 12 16
20 – 30 24 40
30 – 40 36 76
40 – 50 20 96
50 – 60 16 112
60 – 70 8 120
70 - 80 5 125
Size of N/2 th item
= Size of 125/2 th item
= Size of 62.5 th item
Median class = 30 – 40
L = 30
cf = 40
f = 36
h = 10
2
N
h
f
cfN
L 


)2/(
1030 36
402/125
 
1030 36
5.22

Suresh Babu G
Mode
Mode is the most frequently observed data value.
Ungrouped data – Individual Series
Example
Find mode
1, 2, 3, 4, 4, 5
Mode is 4 ( as 4 repeats 2 times )
Suresh Babu G
Mode of Grouped Data
Discrete Series
Example : Find Mode
By inspecting the data value, the maximum
frequency is 20 ie, 30 mark repeats 20 times so
the mode value is 30 mark
Marks No. of Students
10 2
20 8
30 20
40 10
50 5
30
Suresh Babu G
Continuous Series:
Inspection Method
Mode =
Where
L = lower limit of the modal class
D1 = Difference between the frequency of the model class
and the frequency of the class preceding the modal class
(ignoring signs)
D2 = Difference between the frequency of the model class
and the frequency of the class succeeding the modal
class (ignoring signs)
h = class interval if the distribution
h
DD
DL 


21
1
Suresh Babu G
Example
Find mode value
Marks No of Students
0 – 10 5
10 – 20 7
20 – 30 8
30 – 40 20
40 – 50 10
50 – 60 6
60 – 70 2
70 - 80 2
Suresh Babu G
The most frequently
occurring data
value is between
30-40 which
occurs 20 times.
The model class is
30 – 40.
Mode = D1 = 20 – 8 = 12
Mode = D2 = 20 – 10 = 10
Mode = 30 + 5.45 L = 30
Mode = 30.45 h = 10
Marks No of Students
0 – 10 5
10 – 20 7
20 – 30 8
30 – 40 20
40 – 50 10
50 – 60 6
60 – 70 2
70 - 80 2
h
DD
DL 


21
1
1030 1012
12
 
Suresh Babu G
Another Method to find mode value is
Mode = 3Median – 2 Mean
Suresh Babu G
Suresh Babu G
Suresh Babu G

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Measures of Central Tendency

  • 1. Suresh Babu G Measures of Central Tendency Suresh Babu G Assistant Professor CTE CPAS Paippad, Kottayam
  • 2. Suresh Babu G Measures of Central Tendency • A measure of central tendency is a summary statistic that represents the centre point or typical value of a dataset. • In statistics, the three most common measures of central tendency are 1. Arithmetic Mean 2. Median 3. Mode There are two more types of average ie, Geometric Mean and Harmonic Mean • Each of these measures calculates the location of the central point using a different method.
  • 3. Suresh Babu G Arithmetic Mean It is defined as the sum of the values of all observations divided by the number of observations and is usually denoted by X̅ . If there are N observations as X1, X2, X3,…..Xn N Xn....X3X2X1 X   N X X  Where ΣX = Sum of all observation N = Total number of observation
  • 4. Suresh Babu G Arithmetic Mean for Ungrouped Data Individual Series Direct Method Example: Calculate Arithmetic Mean from the data showing marks of students in a class in an psychology test : 40, 50, 55, 78, 58. N X X  2.565 5878555040   X N X X 
  • 5. Suresh Babu G Arithmetic Mean for Ungrouped Data Discrete Series Direct Method N fX X 
  • 6. Suresh Babu G Example Calculate the AM from the following: Mark No: of students fX 22 5 110 25 10 250 30 15 450 37 7 259 45 3 135 50 10 500 N = 50 Σfx = 1704 Marks 22 25 30 37 45 50 No: of students 5 10 15 7 3 10 N fX X   08.34 50 1704 X 08.34 50 1704  X
  • 7. Suresh Babu G Continuous Series Direct Method N fm or N fX X   Where M = Mid value
  • 8. Suresh Babu G Example: From the following data calculate AM Marks 0 - 10 10 - 20 20 - 30 30 - 40 40 - 50 No: of Students 5 3 7 25 20 Class Frequenc y (f) Mid value (x) fx 0 – 10 5 5 25 10 – 20 3 15 45 20 – 30 7 25 175 30 – 40 25 35 875 40 - 50 20 45 900 N = 60 Σfx = 2020 N fX X   67.33 60 2020   X X 33.67
  • 9. Suresh Babu G Short Cut Method N fd AX   Where A = Assumed Mean d = deveation of mid values from the assumed mean d = m-A N = Number of observations N fd AX  
  • 10. Suresh Babu G Example: From the following data calculate AM Marks 0 - 10 10 - 20 20 - 30 30 - 40 40 - 50 No: of Students 5 3 7 25 20 Class Freque ncy (f) Mid value (x) d= x-A fd 0 – 10 5 5 -20 -100 10 – 20 3 15 -10 -30 20 – 30 7 25 0 0 30 – 40 25 35 10 250 40 - 50 20 45 20 400 N = 60 Σfd=520 25 A = 25 N fd AX   66.33 66.825 60 52025    X X
  • 11. Suresh Babu G Median Median is the middle element when the data set is arranged in order of the magnitude. Median of Ungrouped Data Individual Series Median = Size of item Where N is number of observations 2 )1( N th
  • 12. Suresh Babu G Example : The following data provides marks of seven students. Calculate median 110, 115, 140, 117, 109, 113, 120 Arrange the data in ascending order 109, 110, 113, 115, 117, 120, 140 Median = Size of item Median = Size of item = Size of item Median = Size of 4 item Median = 115 2 )1( N th 2 )17(  th 2 8 th th
  • 13. Suresh Babu G Example 2 : Calculate the median 38, 24, 45, 50, 85, 60, 95, 40, 56, 63 Ascending order 24, 38, 40, 45, 50, 56, 60, 63, 85, 95 Median = Size of item Median = Size of item = Size of item Median = Size of 5.5 item Median = 50 + 0.5(56-50) = 50 + 0.5 X 6 = 53 Median = 53 2 )1( N 2 )110(  2 11 th th th th
  • 14. Suresh Babu G Median of Grouped Data Discrete Series Median = Size of item Example: Calculate Median 2 )1( N th Marks No: of students 10 2 20 4 30 10 40 4 N = Total frequency
  • 15. Suresh Babu G Marks No: of students Cumulative Frequency 10 2 2 20 4 6 30 10 16 40 4 20 Median = Size of item Median = Size of item = Size of item Median = Size of 10.5 item 10.5 is easily located at 16 of cf corresponding mark is 30 so Median =30 2 )1( N th 2 )120(  th 2 21 th th
  • 16. Suresh Babu G Continues Series Median = Where L = Lower limit of the median class cf = Cumulative frequency of the classes preceding the median class f = frequency of the median class h = magnitude of the median class interval h f cfN L    )2/(
  • 17. Suresh Babu G Example: Find median Marks No of Students 0 – 10 4 10 – 20 12 20 – 30 24 30 – 40 36 40 – 50 20 50 – 60 16 60 – 70 8 70 - 80 5
  • 18. Suresh Babu G Median = Median = = = 30 + 6.25 Medan = 36.25 Marks No of Students Cumulative Frequency 0 – 10 4 4 10 – 20 12 16 20 – 30 24 40 30 – 40 36 76 40 – 50 20 96 50 – 60 16 112 60 – 70 8 120 70 - 80 5 125 Size of N/2 th item = Size of 125/2 th item = Size of 62.5 th item Median class = 30 – 40 L = 30 cf = 40 f = 36 h = 10 2 N h f cfN L    )2/( 1030 36 402/125   1030 36 5.22 
  • 19. Suresh Babu G Mode Mode is the most frequently observed data value. Ungrouped data – Individual Series Example Find mode 1, 2, 3, 4, 4, 5 Mode is 4 ( as 4 repeats 2 times )
  • 20. Suresh Babu G Mode of Grouped Data Discrete Series Example : Find Mode By inspecting the data value, the maximum frequency is 20 ie, 30 mark repeats 20 times so the mode value is 30 mark Marks No. of Students 10 2 20 8 30 20 40 10 50 5 30
  • 21. Suresh Babu G Continuous Series: Inspection Method Mode = Where L = lower limit of the modal class D1 = Difference between the frequency of the model class and the frequency of the class preceding the modal class (ignoring signs) D2 = Difference between the frequency of the model class and the frequency of the class succeeding the modal class (ignoring signs) h = class interval if the distribution h DD DL    21 1
  • 22. Suresh Babu G Example Find mode value Marks No of Students 0 – 10 5 10 – 20 7 20 – 30 8 30 – 40 20 40 – 50 10 50 – 60 6 60 – 70 2 70 - 80 2
  • 23. Suresh Babu G The most frequently occurring data value is between 30-40 which occurs 20 times. The model class is 30 – 40. Mode = D1 = 20 – 8 = 12 Mode = D2 = 20 – 10 = 10 Mode = 30 + 5.45 L = 30 Mode = 30.45 h = 10 Marks No of Students 0 – 10 5 10 – 20 7 20 – 30 8 30 – 40 20 40 – 50 10 50 – 60 6 60 – 70 2 70 - 80 2 h DD DL    21 1 1030 1012 12  
  • 24. Suresh Babu G Another Method to find mode value is Mode = 3Median – 2 Mean