1. PROJECT WORK
ON
POPULARITY OF DIFFERENT BRANDS
OF
EDIBLE OIL
Under the guidance of:
Prof. S.S. Khullar
BY:
Astha Laghate
Roll No: 383
Section: Omega
Batch: 2015-2017
2. INDEX
1. Acknowledgement
2. Research Objectives
3. Preface
4. Introduction
a) Edible oils
b) Big Apple
c) Concept of Probability
5. Research Methodology
a) Sample Size
b) Data Collection Techniques
c) Limitations of the Research
6. Data Analysis
a) Data
b) Probability Calculations
c) Descriptive Analysis
7. Conclusion
8. Bibliography
3. ACKNOWLEDGEMENT
At the onset, I would like to express my heartiest thanks to Prof. S.S.
Khullar who gave me an opportunity to undertake this project.
I express my sincere regard to Mr. Nitin Paul (Big Apple Supervisor) for
his excellent command over the information regarding Stores details and
sharing the same with me has come a long way to help me complete this
project.
Lastly I want to pay my hearted thanks to few people who gave to me
their valuable suggestion and guidance in completing my project.
ASTHA LAGHATE
4. RESEARCH OBJECTIVE
To determine the popularity of different brands of edible oils by visiting
supermarket for studying sale of different brands of edible oils and
determine the probability that a person chosen at random will purchase
most popular brand.
5. PREFACE
It is said a person should take care of his health and in order to take care
of his health he should ensure that he chooses the best edible oil as it
may cause many health diseases like cholesterol.
I was curious to analyze the validity of this belief. So I decided to work on
this Project titled “Probability of top brands of edible oil”. I have
attempted to determine the popularity of top brands of edible oils and
the probability of the same.
In this regard I visited Big Apple store of Block k, Kalkaji, New Delhi. With
the cooperation of the manager (sales), I was able to collect the required
data and proceeded.
- ASTHA LAGHATE
6. INRODUCTION
EDIBLE OILS
Cooking oil is synthetic fat used in frying, baking, and other types of
cooking. It is also used in food preparation and flavoring not involving
heat, such as salad dressings and bread dips, and in this sense might be
more accurately termed edible oil.
Cooking oil is typically a liquid at room temperature, although some oils
that contain saturated fat, such as coconut oil, palm oil and palm kernel
oil becomes solid. The edible oils which I have used for my research
objective are as follows:
1. Fortune
2. Nature Fresh
3. Mahakosh
4. Sundrop
5. Saffola
6. Others
Others include Rath, Dalda and Big Apple own cooking oil.
BIG APPLE
Future Consumer Enterprise Ltd acquired 100% stake in Express Retail
Services Private Limited in September 2012. Express Retail is engaged in
business of retailing of groceries and food products through general
convenience stores under the brand name of Big Apple.
7. Currently there are 25 stores in Delhi and NCR with an average store size
1,600 Sq Ft. A typical Big Apple store maintains a healthy mix of fruits
and vegetables, staples, dairy and value added product in FMCG and
food space.
CONCEPT OF PROBABILITY
Probability is the likelihood or chance that a particular event will occur.
The theory of probability provides a quantitative measure of uncertainty
or likelihood of occurrence of different events, resulting from a random
experiment, in terms of quantitative measures ranging from 0 to 1. This
means that the probability of a certain event is 1 and the probability of
an impossible event is 0.
BINOMIAL DISTRIBUTION:
Binomial distribution describes data resulting from an experiment
known as the Bernoulli process. Tossing of a fair coin for a fixed number
of times is a Bernoulli process and the outcomes of such tosses can be
represented by binomial distribution.
The assumptions of binomial distribution are as follows:-
The experiment involves a sequence of ‘n’ identical trials.
For each trial there can be two possible outcomes. One is referred
to as success and the other as failure.
The trials are independent in nature.
The probability of success ‘p’ and the probability of failure ‘q=(1-p)’
remain constant through-out the experiment.
8. RESEARCH METHODOLOGY
SAMPLE SIZE
I took the data of Big Apple store for the month of July 2015. It included
Monthly sales made w.r.t. to edible oil sold by the store located in Block
k, Kalkaji, New Delhi
DATA COLLECTION TECHNIQUES
Visiting the Head Office of Big Apple: Kirti Nagar, Delhi
The store manager of Big Apple was not comfortable in sharing the
information, therefore I had to go to its head office to get the sales data
related to the stores of Kalkaji, where monthly sales of the store were
provided after giving specific reasons.
LIMITATIONS OF THE RESEARCH
The major limitations which I faced during my project were:
The store manager was not comfortable in sharing information
Data need to be collected from head office
Proof of reality was not given by the Head Office of the data
provided by them.
9. DATA ANALYSIS
DATA
Kalkaji Big Apple Packet /1 liter/ Month
Fortune 143
Nature fresh 78
Mahakosh 65
Sundrop 43
Saffola 54
Other 106
PROBABILITY CALCULATIONS
Edible Oil (x) Frequency P(x)
Fortune 143 0.292
Nature Fresh 78 0.160
Mahakosh 65 0.133
Sundrop 43 0.088
Saffola 54 0.110
Other 106 0.217
Total 489 1.000
10. DESCRIPTIVE ANALYSIS
The probability of Fortune cooking oil is 0.292 which is highest which
shows that sale of Fortune cooking oil is more.
29%
16%
13%
9%
11%
22%
Packet /1 liter/ Month
Fortune Nature fresh Mahakosh Sundrop Saffola Other
11. CONCLUSION
After determining the total number of packets of each brand of edible oil
it was found that the sale of Fortune cooking is more and hence the
probability so determined was also more.
Hence, a person chosen at random will purchase Fortune cooking oil as
the probability of Fortune oil is 0.292
