Relation Between
Mean, Median & Mode
21COM2T412: Business Statistics
Dr. Neerupa Chauhan
Asst. Professor
Kristu Jayanti College, Autonomous
(Reaccredited A++ Grade by NAAC with CGPA 3.78/4)
Bengaluru – 560077, India
 In symmetrical distributions,
the median and mean are
equal
For normal distributions,
mean = median = mode
 In positively skewed
distributions, the mean is
greater than the median
In negatively skewed
distributions, the mean is
smaller than the median
Relation Between
Mean, Median & Mode
Empirical Relationship
Relation between Mean, Median, and Mode is that Mode is equal to
the difference between 3 times median and 2 times mean. It is
expressed using Karl Pearson's formula.
•Important Measure of Variation
•Shows Variation About the Mean:
•For the Population:
•For the Sample:
Variance
 
N
Xi
 

2
2


 
1
2
2




n
x
x
s
i
For the Population: use N in the
denominator.
For the Sample : use n - 1 in
the denominator.
•Important Measure of Variation
•Shows Variation About the Mean:
•For the Population:
•For the Sample:
Standard Deviation
 
N
Xi
 

2


 
1
2




n
x
x
s
i
Coefficient of Variation
•Measure of Relative Variation
•Always a %
•Shows Variation Relative to Mean
•Used to Compare 2 or More Groups
•Formula (for Sample):
100%








X
SD
CV
Shape of Curve
 Describes How Data Are Distributed
 Measures of Shape:
 Symmetric or skewed
Right-Skewed
Left-Skewed Symmetric
Mean = Median = Mode
Mean Median Mode Median Mean
Mode
• Thank you

Mean_Median_Mode .kjc.pptx

  • 1.
    Relation Between Mean, Median& Mode 21COM2T412: Business Statistics Dr. Neerupa Chauhan Asst. Professor Kristu Jayanti College, Autonomous (Reaccredited A++ Grade by NAAC with CGPA 3.78/4) Bengaluru – 560077, India
  • 2.
     In symmetricaldistributions, the median and mean are equal For normal distributions, mean = median = mode  In positively skewed distributions, the mean is greater than the median In negatively skewed distributions, the mean is smaller than the median Relation Between Mean, Median & Mode
  • 3.
    Empirical Relationship Relation betweenMean, Median, and Mode is that Mode is equal to the difference between 3 times median and 2 times mean. It is expressed using Karl Pearson's formula.
  • 5.
    •Important Measure ofVariation •Shows Variation About the Mean: •For the Population: •For the Sample: Variance   N Xi    2 2     1 2 2     n x x s i For the Population: use N in the denominator. For the Sample : use n - 1 in the denominator.
  • 6.
    •Important Measure ofVariation •Shows Variation About the Mean: •For the Population: •For the Sample: Standard Deviation   N Xi    2     1 2     n x x s i
  • 7.
    Coefficient of Variation •Measureof Relative Variation •Always a % •Shows Variation Relative to Mean •Used to Compare 2 or More Groups •Formula (for Sample): 100%         X SD CV
  • 8.
    Shape of Curve Describes How Data Are Distributed  Measures of Shape:  Symmetric or skewed Right-Skewed Left-Skewed Symmetric Mean = Median = Mode Mean Median Mode Median Mean Mode
  • 9.