Statistical Analysis of Sony and Samsung

Statistical Analysis

Vs

INTRODUCTION RESEARCH METHODOLOGY ARITHMETIC MEAN MEDIAN MODE GEOMETRIC MEAN STANDARD DEVIATION COEFFECIENT OF VARIANCE SKEWNESS RANGE KARLPEARSON’S COEFFECIENT OF CORELATION REGRESSION CONCLUSION

Index

Sony

Founded: October 1, 2001

Headquarters: Tokyo, Japan

Key people: • Kunimasa Suzuki (President &

CEO)• Bob Ishida (Deputy CEO)

World’s 10th largest mobile phone manufacturer

Profits: € 206 million (2011)

SamsungFounded: 1938

Headquarters: Samsung Town, Seoul, South Korea

Key people: • Lee Kun-hee (Chairman and CEO)• Lee Soo-bin (President, CEO)

In 2007,it was the second largest mobile device manufacturer in the world (after Nokia) By 2011, it came upto No. 1.

Profits: US$ 18.3 billion (2011)

Market Share

32.90%

6.70%

5.80%4.90%5.10%

44.60%

SAMSUNGNOKIAHTCSONYBLACKBERRYOTHERS

RESEARCHMETHODOLOGY

• Data collection

• Preparing a questionnaire of two different

mobile companies using different variables

• Where people had to rate it on the scale of 1 to

5

• Data was collected from the people who had

used both the companies phone.

• The sample size taken into consideration was

50

Sr No.

Questions Samsung Sony

1 How would you rate your brand according to your preference?

2 Appearance/design

3 Camera & picture quality

4 Sound quality

5 Battery life

6 User Friendly (including touch & feel)

7 Built quality

8 Value for Money

9 Headphones and other accessories

10 After sales service

QuestionnaireName:Age:Occupation:Current mobile you are using:

Kindly rate all the 2 brands from 1-5 for the 10 questions stated below:1-Poor2-Average3-Good4-Very Good5-Excellent

A mathematical representation of the typical value of a series of numbers, computed as the sum of all the numbers in the series divided by the count of all numbers in the series.

Arithmetic mean is commonly referred to as "average" or simply as "mean".

Arithmetic Mean

MEAN = ∑ FX N

Particulars Samsung Sony

1 0 3

2 5 9

3 13 18

4 20 17

5 12 3

How would you rate your brand according to your preference?

PARTICULARS SAMSUNG SONYMEAN 3.78 3.16

• The mean rating of Samsung is high.

The middle number in a sorted list of numbers. The median can be used to determine an approximate average.

Median = N + 1 th observation 2

Median

PARTICULARS SAMSUNG SONY1 1 32 2 103 15 174 18 185 14 2

Appearance/design

PARTICULARS SAMSUNG SONYMEDIAN 14 10

• The Median of Appearances/ Design of Samsung is High

A statistical term that refers to the most frequently occurring number found in a set of numbers.

Mode= The result with the highest

occurrences is the mode of the set.

Mode

PARTICULARS SAMSUNG SONY

1 2 1

2 3 2

3 17 9

4 15 25

5 13 13

Camera & picture quality


MODE 17 25

• The Mode of Camera and Picture Quality of Sony is High

Geometric mean is defined as the Nth root of the product of N items or Values. If there are two items we take the square root: if there are three items the cube root and so on.

When the number of items is 3 or more the task of multiplying the numbers and of extracting the root becomes very difficult. To simplify calculations logarithms are used,

GM= Anti log [∑log x] N

Geometric Mean

Variable SAMSUNG SONY

Value for Money 9.76 9.82

• The GM of Value for Money of Sony is High.

A measure of the dispersion of a set of data from its mean. The more spread apart the data, the higher the deviation. Standard deviation is calculated as the square root of variance.

Standard Deviation


Sound quality

PARTICULARS SAMSUNG SONYMEAN 3.54 4.22

MEDIAN 6 3S.D 1.01 1.04

• The Standard deviation of Sony is higher which means that the Sound Quality is less/ Bad.

100x

Coefficient of Variation

Coefficient of Variation: The standard deviation of data divided by it’s mean. It is usually expressed in percent.

Coefficient of Variation=

Variables Samsung Sony

Sound Quality 1.013.54

1.04 X 100=24.64% 4.22

X 100= 28.53%

SKEWNESS is a measure of the probability distribution of a real valued random variable. The skewness value can be positive or negative or even undefined.

SKEWNESS= (Mean-Mode) Standard deviation

Skewness


Battery life

PARTICULARS SAMSUNG SONYMEAN 2.98 3.08MODE 17 17

S.D 5.9614 5.6212SKEWNESS -0.3312 -0.3547

Range is the difference between largest value and the smallest value.

RANGE= L - S L+S

Range


1 1 2

2 2 6

3 11 21

4 26 18

5 10 3

User Friendly (including touch & feel)


RANGE 0.9259 0.8261

• The Range of User Friendly of Samsung is High.

Correlation is a statistical tool with the help

of which the relationship between two or

more variables is studied.

The measure of correlation is called as co-

efficient of correlation and denoted by ‘r’.

The Value Of Coefficient of Correlation Lies

Between -1 to 1.

Karl- Pearson’s Coefficient Of Correlation

Co-efficient of Correlation(r) = ∑ x y

∑x² . ∑y²

VARIABLE SAMSUNG SONY

QualityVs

Value for money

0.66 0.96

• Samsung Shows a Positive Correlation. Whereas In Sony, Correlation is Very Close to 1.Therefore, there is strong positive correlation.

RegressionRegression is the measure of the average relationship between two or more variables in terms of the orignal units of the data.

•Y on x = y-y’ = byx (x-x’)•X on y = x-x’ = bxy (y-y’)•byx = cov (x,y) v(x)•bxy = cov (x,y) v(y)•cov(x,y) = ∑xy – x’y’ n•v(x) = ∑x2 – (x’)2

n•v(y) = ∑y2 – (y’)2

n

YEAR SALES(X) ADVTERISMENT (Y)

2009-10 1094.77 77.37

2010-11 919.17 68.35

2011-12 888.06 70.51

2012-13 864.98 71.23

2013-14 735.64 51.53

SALES AND ADVERTISEMENT OF SAMSUNG

We have planned our advertisement expenditure for the year 2014-15 is Rs.211.18cr.

So through regression we have calculated expected sales for the year 2014-15 will be 2568.72crs.

In Cr.

HEAD PHONE AND ACCESSORIES

POOR

AVE

GOOD

VERY.

..

EXCE.

..0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0

7 1615 12

2

5 1219 12

SONYSAMSUNG

AFTER SALE SERVICE

1

7

21

16

5

SAMSUNG

POORAVERAGEGOODVERY GOODEXCELLENT

5

11

20

12

2

SONY

POORAVERAGEGOODVERY GOODEXCELLENT

After sampling 50 people for our survey we conclude that SAMSUNG is a more preferred brand over SONY.

Conclusion

Presented by:-Abhishek Bhatt 13002Ankish Jain 13005Anshul Ramnani 13006Ashish Ramnani 1300Tanmay Gattani 130074

Statistical Analysis of Sony and Samsung

Data & Analytics