This document analyzes and compares the performance of Nike and Puma companies over several years. It uses descriptive statistical analysis and hypothesis testing on primary and secondary data. The analysis shows that Nike has higher revenue and gross profits than Puma. A survey of 300 people shows most prefer Nike for its durability and quality. Hypothesis testing found a significant variation in spending amounts between Nike and Puma customers. Suggestions are made for each company to better meet consumer needs and demands.

1. BUSINESS STATISTICS II
SEMESTER: 4
SECTION: 2
ROLL NO: 194-204
TOPIC: NIKE V/S PUMA

3. ACKNOWLEDGEMENT
 With the deepest gratitude we wish to thank our
professors Dinesh Sir, Neha Ma’am and Bhaktida
Ma’am for their constant support and guidance.
 They have inspired and illuminated us through their
presence and have given us such a great opportunity to
analyze/study the Business Statistics.

4. INTRODUCTION & SUMMARY
 Objective- To analyse the performance of 2
Companies
 To understand practically how to use statistics in
business to our advantage.
 To increase our analytical skills , by analysing data
through different tools & method.

5.  Our 2 Companies are NIKE & PUMA
 Sector- Footwear
 Product- Shoes

6. DESCRIPTIVE STATISTICAL CONCEPT
o A set of brief descriptive coefficients that summarizes a
given data set, which can either be a representation of the
entire population or a sample.
o Descriptive research includes surveys and fact
finding enquiries of different kinds.
o We have used hypothesis testing as a major tool to
find the results.

7. ANALYTICAL RESEARCH
 Use the facts or information already available, and
analyse these to make a critical evaluation of the
material.
 Research between the two variables are analysed
after selecting the dependent and independent
variable.
 We have research about sales and profit of two
companies and have regression analysis on it.

8. METHODS USAGE
 Primary method
 Secondary method

9. SECONDARY DATA OF NIKE
Years Gross Profit(in cr.) Sales(in cr.)
2005 39929 85724
2006 42924 93304
2007 46356 101858
2008 54342 116214
2009 56089 119639
2010 57399 119190
2011 61579 130158
2012 67880 150547
2013 72060 157909

10. GRAPHICAL PRESENTATION OF SALES AND
GROSS PROFITS OF NIKE COMPANY
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
2005 2006 2007 2008 2009 2010 2011 2012 2013
GROSS PROFIT(IN CR.)
SALES(IN CR.)

11. ANALYSIS
Regression Statistics
Multiple R 0.994009125
R Square 0.988054141
Adjusted R Square 0.98634759
Standard Error 1275.865193
Observations 9
Coeffici
ents
Standar
d Error
T-stat P-
value
Lower
95%
Upper
95%
Intercep
t
1941.12
5
2261.87 0.858 0.4191 -
3407.34
7289.59
Sales 0.4477 0.018 24.06 5.45 0.40 0.49

12. SECONDARY DATA OF PUMA
Years Gross Profit(in cr.) Sales(in cr.)
2005 6557 16827
2006 8448 19422
2007 8753 1910
2008 9215 19516
2009 8897 18480
2010 9508 19141
2011 10563 21281
2012 11168 23128
2013 9813 21113

13. GRAPHICAL PRESENTATION OF SALES AND
GROSS PROFITS OF PUMA COMPANY
0
5000
10000
15000
20000
25000
2005 2006 2007 2008 2009 2010 2011 2012 2013
GROSS PROFIT(IN CR.)
SALES(IN CR.)

14. ANALYSIS
Regression Statistics
Multiple R 0.929772425
R Square 0.864476762
Adjusted R Square 0.845116299
Standard Error 521.4121371
Observations 9
Coeffic
ients
Standa
rd
Error
T-stat P-
value
Lower
95%
Upper
95%
Interce
pt
-
4196.0
5
2014.2
8
-2.08 0.075 -
8959.0
8
566.96
Sales 0.68 0.10 6.68 0.0002
8
0.4375 0.9168

15. PRIMARY DATA
 We have done a survey of 300 peoples.
 A questionnaire was circulated through a google
form and as many as 300 respondents were came.
 As many as 10 questions were asked in he
questionnaire.
 Here is the graphical analysis of that questions
which were asked.

16. Which brand do you prefer in shoes?
Nike
Puma
Others
54(18%)
162(53%)
126(42%
)

17. From where did you buy sports shoes?
Internet
Shop
Others
82(28%)
12(4%)
246(82%)

18. 0 50 100 150 200
Outdoor
Gym
Sports
Others
For what purpose you wear shoes?
Purpose of shoes
21(7%)
119(40%)
90(30%)
185(61%)

19. 0
50
100
150
200
250
300
Colour Design Comfort Durability
What is the most important requirement you
look in a shoe?
Important
requirement118(39%
)
246(82%)
111(37%
)84(28%)

20. 0
20
40
60
80
100
120
140
Usage of shoes
Usage of shoes
137(46%)
72(24%)
45(15%)
75(25%)

21. 0
20
40
60
80
100
120
140
500-1500 1500-3000 3000-5000 5000+
How much do you spend on shoes?
Spending on shoes
124(41%)
106(35%)
62(21%)
52(17%)

22. 0 50 100 150 200
Good
Average
Very good
Excellent
How will you rate your product?
Product Rating
50(17%)
24(8%)
158(52%
)
98(33%)

23. 0
20
40
60
80
100
120
140
160
Upto 1 year 1-2 years 2-5 years 5+ years
How much do you rate your product in terms
of average life?
Average life
37(12%)
142(47%
)
101(34%
)
35(12%)

24. Do you normally switch over to this brand
for shoes?
Yes
No

25. PRIMARY DATA HYPOTHESIS TESTING
 Hypothesis testing on spending done by consumers
on their particular product.
F-Test Two-
Sample for
Variance
NIKE PUMA
Mean 2283.33 2750
Variance 1859039.6 2275423.7
Observations 60 60
Df 59 59
F 0.81700807
P(F<=f)one tail 0.2199
F Critical one-tail 0.6493

26. ANALYSIS
 Statistical inquiry: In this case we are finding, if
variances in the spending done by the customers
for NIKE and PUMA shoes is equal or not. Thus we
are finding the amount of rupees spend by
customers while purchasing the shoes of NIKE and
PUMA is similar or not.
 Target populations:
Population 1: Customers of NIKE
Population 2: Customers of PUMA

27.  Type of population: Infinite and homogeneous
 Statistical parameter: variance
 Null hypothesis Ho: There is no significant
variation in the spending done by the consumers
while purchasing Nike and Puma shoes.
 Alternative Hypothesis H1: There is a significant
variation spending done by the consumers while
purchasing Nike and Puma shoes.

28. CONCLUSION
 Statistical test: Test of significance of difference
between Variances of two independent populations.
 Type of the test: Two – tailed test
 Rule-We do a two-tail test (inequality). If f cal< F
Critical two-tail, we accept the null hypothesis.
 Decision-Therefore in this case, 0.81 >0.64.
Therefore, we reject the null hypothesis.
 Conclusion- we conclude that, the spending done
by the customers while purchasing the product are
not the same, and there is significant variation’s in
the spending.

29. OBSERVATIONS AND FINDINGS
 People prefer Nike shoes over Puma shoes
because of higher durability and better quality.
 Huge need of shoes in coming days as majority of
the consumers prefer shoes for daily use.
 Nike company has a huge amount of revenue and
gross profit compared to Puma company.
 Nike is better than Puma in terms of selling of
shoes.

30. SUGGESTIONS AND INNOVATIVE DEAS
 Puma Company should come up with new ideas
and innovations in producing shoes to satisfy
consumers in buying the product and also to
increase their revenue and their gross profit too.
 Nike Company should go with the flow and should
also come up with new quality of shoes which will
make their consumers more suitable and loyal to
the company.
 While less number of consumers are opting for
puma brand for shoes, they should analyse the
needs of a consumer want in shoes.

31. BIBLIOGRAPHY
 http://www.wikinvest.com/stock/Nike_(NKE)/Data/K
ey_Metrics
 https://docs.google.com/forms/d/1Pequ4qiiM8f4eCx
RtgJU9uahlZ2ujS7sM2110F-fuhI/viewanalytics
 http://about.puma.com/en/investor-
relations/financial-reports