statistical analysis of sony and samsung
TRANSCRIPT
![Page 1: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/1.jpg)
Statistical Analysis
![Page 2: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/2.jpg)
Vs
![Page 3: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/3.jpg)
![Page 4: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/4.jpg)
INTRODUCTION RESEARCH METHODOLOGY ARITHMETIC MEAN MEDIAN MODE GEOMETRIC MEAN STANDARD DEVIATION COEFFECIENT OF VARIANCE SKEWNESS RANGE KARLPEARSON’S COEFFECIENT OF CORELATION REGRESSION CONCLUSION
Index
![Page 5: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/5.jpg)
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)
![Page 6: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/6.jpg)
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)
![Page 7: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/7.jpg)
Market Share
32.90%
6.70%
5.80%4.90%5.10%
44.60%
SAMSUNGNOKIAHTCSONYBLACKBERRYOTHERS
![Page 8: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/8.jpg)
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
![Page 9: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/9.jpg)
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
![Page 10: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/10.jpg)
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
![Page 11: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/11.jpg)
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.
![Page 12: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/12.jpg)
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
![Page 13: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/13.jpg)
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
![Page 14: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/14.jpg)
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
![Page 15: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/15.jpg)
PARTICULARS SAMSUNG SONY
1 2 1
2 3 2
3 17 9
4 15 25
5 13 13
Camera & picture quality
PARTICULARS SAMSUNG SONY
MODE 17 25
• The Mode of Camera and Picture Quality of Sony is High
![Page 16: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/16.jpg)
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.
![Page 17: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/17.jpg)
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
![Page 18: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/18.jpg)
PARTICULARS SAMSUNG SONY1 0 22 6 23 17 34 21 195 6 24
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.
![Page 19: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/19.jpg)
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%
![Page 20: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/20.jpg)
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
![Page 21: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/21.jpg)
PARTICULARS SAMSUNG SONY1 4 22 12 143 17 174 15 125 2 5
Battery life
PARTICULARS SAMSUNG SONYMEAN 2.98 3.08MODE 17 17
S.D 5.9614 5.6212SKEWNESS -0.3312 -0.3547
![Page 22: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/22.jpg)
Range is the difference between largest value and the smallest value.
RANGE= L - S L+S
Range
![Page 23: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/23.jpg)
PARTICULARS SAMSUNG SONY
1 1 2
2 2 6
3 11 21
4 26 18
5 10 3
User Friendly (including touch & feel)
PARTICULARS SAMSUNG SONY
RANGE 0.9259 0.8261
• The Range of User Friendly of Samsung is High.
![Page 24: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/24.jpg)
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
![Page 25: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/25.jpg)
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.
![Page 26: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/26.jpg)
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
![Page 27: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/27.jpg)
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.
![Page 28: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/28.jpg)
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
![Page 29: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/29.jpg)
AFTER SALE SERVICE
1
7
21
16
5
SAMSUNG
POORAVERAGEGOODVERY GOODEXCELLENT
5
11
20
12
2
SONY
POORAVERAGEGOODVERY GOODEXCELLENT
![Page 30: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/30.jpg)
After sampling 50 people for our survey we conclude that SAMSUNG is a more preferred brand over SONY.
Conclusion
![Page 31: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/31.jpg)
![Page 32: Statistical Analysis of Sony and Samsung](https://reader034.vdocument.in/reader034/viewer/2022052321/554bf61bb4c90556328b574b/html5/thumbnails/32.jpg)
Presented by:-Abhishek Bhatt 13002Ankish Jain 13005Anshul Ramnani 13006Ashish Ramnani 1300Tanmay Gattani 130074