mens fairness reasearch paper
TRANSCRIPT
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Are Indian Consumer Ready For Family Pack
Size Product
Authored By Guided By
Clifton Pereira Dr.Hanif Kanjer
Reuban Rebello
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INTRODUCITION
In todays consumer world the concept of family pack size product is growing day by
day .The consumer want a product in such a manner that can save their money or
which is cost effective .The family pack is the product which can save the money of the
customer. Most of the consumer prefer a pack product rather than regular product. The
concept of family pack offer extra quantity of product at discounted price than regular
product .For e.g a product such as lifeboy soap if we buy the family pack of the soapthan we will get Rs.17 of on that product than actual price.
The main disadvantage of family pack size is that it can not afforde by lower
income level consumer . Also if a consumer want a family pack of surf of only 800gm
and the available size of pack is 1kg than he has to pay extra money .
So in following research we study that whether the consumer is ready for
family pack size product.
RESEARCH METHODOLOGY
Research can be defined to be search for knowledge or any systematic investigation to
establish facts. The primary purpose for applied research (as opposed to basic research) is
discovering, interpreting, and the development of methods and systems for the advancement of
human knowledge on a wide variety of scientific matters of our world and the universe.
Research design can be thought of as the structure of research -- it is the "glue" that holds all of
the elements in a research project together. We often describe a design using a concise
notation that enables us to summarize a complex design structure efficiently.
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STATEMENT OF THE PROBLEM
The study is done to determine the reason as to which
1) People with lower income group can not afford the family pack size.
2) Most of the people dont know about the different brands of family pack.
3) Due to durability of family pack people dont prefer it because they want the fresh product.
PROPOSED RESEARCH HYPOTHESIS
The study is done to determine the reason as to which
SCOPE OF THE PROJECT
The study intends to cover the promotional activities done by the various family pack size
product to motivate buying behaviour of their consumers.
It will help understand the reason as to why consumers like housewives prefer the product
It will help to understand whether the family pack size product is accepted by consumer
OBJECTIVES OF THE STUDY
1. To examine the different strategies used by the FMCG companies.
2. To understand the response get from the consumer about the family pack product.3. To know the sales or turnover of the family pack product
4. To examine about which product is most demanding whether regular product or family
pack product.
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SAMPLING TECHNIQUES
Process
The sampling process comprises several stages:
Defining the population of concern
Specifying a sampling frame, a set of items or events possible to measure
Specifying a sampling method for selecting items or events from the frame
Determining the sample size
Implementing the sampling plan
Sampling and data collecting
Reviewing the sampling process
SAMPLE SIZE
60 People from the age of 15-40
Type of research
Exploratory research
We cant determine that what are people thinking about the family pack product .Different
people have different buys about a family pack product in their mind .It is use of basic research
or past theories, knowledge and methods for solving an existing problem. It deals with practical
problems. It is opposed to pure research which is not problem-oriented but for the increase in
knowledge which may or may not be used in future.
DATA COLLECTION
a. Primary Data: Primary data has been collected using questionnaire and interviews.
b. Secondary data: Secondary data has been obtained from the internet.
In primary data collection, you collect the data yourself using methods such as interviews and
questionnaires. The key point here is that the data you collect is unique to you and your
research and, until you publish, no one else has access to it.
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There are many methods of collecting primary data and the main methods that have been used
in this research include:
questionnaires
interview
Secondary data is data collected by someone other than the user. Common sources of
secondary data for social science include censuses, surveys, organizational records and data
collected through qualitative methodologies or qualitative research. Primary data, by contrast,
are collected by the investigator conducting the research.
Secondary data analysis saves time that would otherwise be spent collecting data and,
particularly in the case of quantitative data, provides larger and higher-quality databases than
would be unfeasible for any individual researcher to collect on their own. In addition to that,
analysts of social and economic change consider secondary data essential, since it is
impossible to conduct a new survey that can adequately capture past change and/or
developments
DATA ANALYSIS
LIMITATIONS OF THE STUDY
The time to complete the project is too little.
The area covered under the study is vast
RESPONDENTS PROFILE
Sixty respondents were asked to fill up the questionnaires. The Respondent population was
as follows:
Youth ( between 15 to 40 )
The Respondents were limited to
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DATA ANALYSIS AND INTERPRETATION
The systematic method of the collection, organization, and interpretation of numerical data,
which shows the proper analysis of given data is known as Data Analysis and Interpretation.
The collecting data is only one step in a scientific investigation, and scientific knowledge is
much more than a simple compilation of data points. The world is full of observations that can
be made, but not every observation constitutes a useful piece of data..
RESULTS OF THE SURVEY
Ho : Average income of people > 30000/m who preferred family size pack
Ha : Average income of people=30000/m who preferred family size pack.
t-Test: Paired Two Sample for Means
Variable 1 Variable
2
Mean
35,161.29 30,000.00Variance
258,989,952.41 -Observations
62.00 62.00Pearson Correlation #DIV/0!
Hypothesized Mean Difference
-df
61.00
t Stat2.53
P(T
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tobserved > tcritical so we reject the null and accept the alternate.
p-value > alpha so we reject the null and accept the alternate
2.53
0.01
Proposed hypothesise
Chi test
Expected Advertising
Flavours
available
in family
pack Quality Quantity Value for money
Entrepreneur 0.60 0.48 1.69 1.93 2.29
Housewife 0.17 0.14 0.48 0.55 0.66
Job 2.41 1.93 6.76 7.72 9.17
Student 1.81 1.45 5.07 5.79 6.88
Observed Advertising
Flavours
available
in familypack Quality Quantity Value formoney
Entrepreneur 0 1 1 3 2 7 12%
Housewife 1 1 0 0 0 2 3%
Job 2 1 7 7 11 28 48%
Student 2 1 6 6 6 21 36%
5 4 14 16 19 58
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Ho : All the
parameters areindependent.
Ha : All the parameters are not independent.
Ho : All occupations are independent.
Ha : All occupations are not independent.
critical 21.03
p-value 0.27
observed 14.53
Fo < Fc so we can accept the null
Proposed Hypothesis
Annova :Parameters-Ho : The significance difference across all parameters is same.
Ha : Atleast one of the mean is difference
Income-Ho : There is significance difference across income level
Ha : Atleast one of the mean is different.
fo-fe^2/fe Advertising
Flavoursavailable
in family
pack Quality Quantity
Value for
money
Entrepreneur 0.60 0.55 0.28 0.59 0.04
Housewife 3.97 5.39 0.48 0.55 0.66
Job 0.07 0.45 0.01 0.07 0.36
Student 0.02 0.14 0.17 0.01 0.11
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Fo > Fc so we reject the null
Fo < Fc so we accept the null.
ANOVA
Source of
Variation SS df MS F P- value F crit
Rows 87.40 3.00 29.13 6.58 0.01 3.49
Columns 45.30 4.00 11.33 2.56 0.09 3.26
Error 53.10 12.00 4.42
Total 185.80 19.00