The sixteen-week internship tenure is meticulously crafted to bridge the gap between theoretical knowledge and practical application. This design ensures that students immerse themselves in a professional environment, equipping them with the skills and experiences necessary to navigate the competitive business landscape successfully. Within the framework of this program, I seized the opportunity to intern at Nepal Airlines Corporation, contributing to a deepened understanding of the intricacies of the aviation industry.
2. Hypothesis
Null Hypothesis (Ho): Most college students
prefer Samsung mobile phone over Iphone
considering that they use MS-office in their
mobile phone.
Alternate Hypothesis (Ha): Most college
students do not prefer Samsung mobile phone
over Iphone considering that they use MS-office
in their mobile phone.
3. Reasons for the Claim
➢ The easier access to universal charger.
➢ The free application available of MS-office
like MS-Word, MS-Excel, etc.
➢ The extra memory storage available. For
instance: inserting memory card.
4. Methodology
➢ Stated Hypothesis.
➢ Prepared questionnaire in Google Forms for
survey.
➢ Surveyed at least 50 respondents.
➢ We tried to make relatable questions to college
students and tried to check the reliability and
validity of the hypothesis.
➢ The use of both qualitative and quantitative method
were used.
5. Survey Questions
1. Age
2. Gender
3. As a college student, which brand would be your preferable choice for a mobile phone?
4. Which mobile phone brand are you currently using?
5. Does your mobile phone brand purchase is influenced by its camera quality?
6. Does your mobile phone brand purchase is influenced by its purchasing price?
7. Do you care about the after sale service (warranty, servicing, maintenance, etc) of the product
while purchasing?
8. Do you prefer a mobile phone with more function or more durability (battery life)?
9. Does the memory space available in the mobile device influence your purchasing decision?
10. Wouldn’t you prefer having a universal charger in most places? For instance- if you forget your
USB at home, you can still find your similar charger in most places.
11. Would your mobile brand preference depend upon the brand reputation it holds?
12. The idea of re-selling your mobile phones, how often do you practice it?
13. How often do you use Microsoft Office on your phone?
14. How satisfied are you with your current operating platform/system (for instance: Android OS,
Apple iOS, Bada, etc)
6. Variables
Independent Variable (X): Usage of MS office in mobile phone
Dependent Variable(Y): Mobile phone brand preference
Relation between the two Variables given as: Y= a+bX
7. Descriptive Statistical Findings
➢ Average Number of Respondents preferring Iphone = 37/52 = 0.71
Sample Standard Deviation (s) = 2.27
➢ Average Number of Respondents preferring Samsung = 15/52= 0.39
Sample Standard Deviation (s) = 0.94
8.
9.
10.
11.
12.
13. Reflection
➢ Being a college student and having to use Microsoft office quite often, we assumed
that students would be more inclined to purchase Android phone as the functions,
and most applications are free but turns out they prefer to work with laptop.
➢ We found out that the students prefer Iphone and most of them about 85% agree that
their buying decision are influenced by camera quality, price, after sales service,
battery life.
➢ The contradicting part was respondents still wanted universal charger in most places
and preferring to Iphone over Samsung, it is actually difficult to find free apple
charging spot outside.
➢ Our hypothesis, however, did not fit the facts we collected. Therefore we rejected the
Null Hypothesis (Ho).
14. Correlation
➢ Correlation is meant for exploring the degree of relationship between two variables in
consideration. The correlation coefficient (r) is the measure to quantify such degree of
relationship of the variables (Senthilnathan, 2019).
➢ We tried to find the correlation between the age and specific mobile brand preference
from the collected data.
Independent Variable (X) = Age
Dependent Variable (Y) = Mobile Brand Preference
15. For Iphone
➢ From the diagram,
r^2 = 0. Therefore, there is
no relation between the
variables which means that age
of an individual doesn’t vary
their preference for Iphone.
16. For Samsung
➢ From the diagram, r^2 = 0.008
Therefore, there is a weak
correlation between the two variables
any correlation coefficient (r) <0.20 is
commonly considered “very weak” or
often “negligible” (Mondal & Mondal,
2017)
17. Reference
Anonymous. (2016). Statistical Policy Directive No. 2: Standards and Guidelines for Statistical Surveys; Addendum:
Standards and Guidelines for Cognitive Interviews. Federal Government Documents and Publications, 435-439.
Leibert, T. W. (2020). Client descriptions of outcomes compared with quantitative data: A mixed‐methods investigation of a
quantitative outcome measure. Journal of the Academic Statistics Research , 425-429.
Selvaratnam, M. (1991). Student Conceptions and Competence Concerning Quantitative Relationships Between Variables.
Journal of Math Education , 370.
Mondal, S., & Mondal, H. (2017). Value of r2 in statistical analysis by Pearson correlation coefficient. JOURNAL OF
CLINICAL AND DIAGNOSTIC RESEARCH, 11(11), 1. https://doi.org/10.7860/jcdr/2017/29763.10812
Senthilnathan, S. (2019). Usefulness of correlation analysis. SSRN Electronic Journal, 1-10.
https://doi.org/10.2139/ssrn.3416918
https://medium.com/pew-research-center-decoded/a-short-intro-to-linear-regression-analysis-using-survey-data-
ff39468f8afb
https://ncert.nic.in/pdf/publication/exemplarproblem/classXI/mathematics/keep215.pdf
