Detail Survey on Indian manufacture shampoo for management statistical purpose and calculation of Mean, median, mode, Standard deviation for grouped data for Statistical Measure for Shampoo in Indian market
Mean, median, mode, Standard deviation for grouped data for Statistical Measure for Shampoo in Indian market
1. Statistical Measure for Shampoo in Indian
market
Renzil D’cruz
http://RenzilDe.com
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2. Introduction
• The top shampoo brands in India include Sunsilk, Clinic
Plus, L’oreal and Pantene.
• The shampoo market in India is estimated to be 2,5003,000 crore.
• conducted survey on sample of 50 people age group
between 18-25, who are consumers of various Shampoos.
• compare Sunsilk, L’Oreal with respect to other brands on
various factors
3. Questionnaire For Shampoo Survey
Company
SUNSILK
(HUL)
LOREAL
Variable
Price
Availability
Aroma
Packaging
Varieties
Value For Money
Brand Ambassadors
Advertising
Satisfaction
Please rate the following on the scale of 1-7:(1:Lowest & 7: Highest)
VATIKA
(DABUR)
14. Mean, Mode and Median
• Mean: The arithmetic mean or average of a set of numbers is the expected
value. The mean is calculated by adding up all the values, and then dividing
that sum by the number of values.
• Mean (x)=A+(Σ(fd)/n)*i
• Median: The median is the middle value in a set of values. To find the
median, order the numbers from largest to smallest, and then choose the
value in the middle.
• Median =L+((n/2-PCF)/f)*i
• Mode: The mode of a set is the value or values that occur most frequently.
There can be more than one mode in a set. If there is more than one mode,
you simply list all of the modes; you do not have to average them.
• Mode=L+{∆1/(∆1+ ∆2)}*i
Renzil D’cruz
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15. Mean, Mode and Median
60
50
40
Mean
30
Median
Others
20
10
0
Sunsilk
L'Oreal
Other
16. Standard Deviation:
• It is a measure of how much spread or variability is present in the
sample. If all the number in the sample are very close to each other in
such cases SD is zero (0) and if the numbers are well dispersed than
SD tends to be large. It is calculated as
• Standard deviation (σ) =
*i
S.D
15
10
S.D
5
0
SUNSILK
LO'REAL
OTHERS
17. Skewness:
• It is a measure of the asymmetry of the probability distribution of
a real-valued random variable. The skewness value can be positive or
negative, or even undefined.
SKEWNESS
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
-0.25
SUNSILK
LO'REAL
OTHERS
SKEWNESS
18. Coefficient of quartile deviation:
• It is the simple method of studying variation. it is defined as the
difference between the value of the smallest and the highest
observation. the relative measure corresponding to deviation is called
coefficient of quartile deviation t is given by,
• Coefficient of quartile deviation =(Q3 − Q1)/( Q3 + Q1)
Coefficient of quartile deviation:
0.3
0.2
Coefficient of quartile
deviation:
0.1
0
SUNSILK
LO'REAL
OTHERS
23. Carl Pearson correlation coefficient
• the Pearson product-moment correlation
coefficient (sometimes referred to as the PPMCC or PCC,
or Pearson's r, and is typically denoted by r) is a measure of
the correlation (linear dependence) between two
variables X and Y, giving a value between +1 and −1
inclusive. It is widely used in the sciences as a measure of
the strength of linear dependence between two variables.
24. • The interpretation of a correlation coefficient depends on
the context and purposes. A correlation of 0.9 may be very
low if one is verifying a physical law using high-quality
instruments, but may be regarded as very high in the social
sciences where there may be a greater contribution from
complicating factors.
• CorrelationNegativePositive
• None−0.09 to 0.00.0 to 0.09
• Small−0.3 to −0.10.1 to 0.3
• Medium−0.5 to −0.30.3 to 0.5
• Strong−1.0 to −0.50.5 to 1.0
Renzil D’cruz
http://RenzilDe.com
http://about.me/renzilde
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