mens fairness reasearch paper

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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