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       PROJECT REPORT ON


IMPACT OF ADVERTISEMENT OF BAJAJ
          ON CUSTOMERS


        UNDERTAKEN AT
  (MAHALAXMI MOTORS, NAVSARI)


           Submitted By:
         (Arjunbhai B.Patill)
               (0039)


            Guided By:
        (Mrs.Verangni patil)

        MBA PROGRAMME
         (YEAR 2007-2009)


     SAHYADRI INSTITUTE OF
      MANAGEMENT STUDIES
       UNIVERSITY OF PUNE
SAHYADRI INSTITUTE OF MANAGEMENT STUDIES




                        COLLEGE CERTIFICATE




This is to certify that the Summer Project report entitled “Impact of
advertisement of Bajaj on customer” at Mahalaxmi Motors Ltd. Submitted by
Arjunbhai B. Patil, 0039 towards the partial fulfillment of the requirement for
the degree of Master of Business Administration has been found satisfactory.




[ Mrs. Verangni patil ]                                  [Dr. Nitin Mankar]

Faculty Guide                                                      Director
DECLARATION

                I hereby declare that the summer project report entitled “Impact
of advertisement of Bajaj on customers” is purely an original work done by me
toward the fulfillment of the award of degree of Master of Business
Administration. Any information taken from different sources has been duly
acknowledged.


      I further declare that the personal data and information received from any
respondent during survey has not been shared with any one and is used for
academic purpose only.




                                                             Arjunbhai B. Patil
ACKNOWLEDGEMENT


      First I would like to thank Dr. Nitin Mankar, Director, Sahyadri
institute of Mangement Studies, Tathawade for making available all facilities in
fulfilling the requirements for the research work.


      To make anything successful one need help and corporation from people
involve directly or indirectly. It was my reminding experience to work with my
guide Mrs. Verangni patil, Faculty, Sahyadri institute of Mangement Studies,
Tathawade, I wish to express my deep sense of gratitude to them for providing
me valuable comments and suggestion for making this project. Indeed they have
served me with their best knowledge to sharpen and refine my knowledge about
the subject. I consider its privilege of mine to work under their guidance and
supervision.


      I also wants to thank Mr. Dhaval Patel, managing director of Mahalaxmi
Motors for allowing me and helping out to carry the project work at Mahalaxmi
Motors. I also thank to all the staff of Mahalaxmi Motors for providing their
valuable time and knowledge to me.


                                                         Arjunbhai B. Patil
INDEX




 Chapter                        Particulars   Page no.
1.         INTRODUCTION
           1.1 History of two wheeler
           1.2 Industry profile
           1.3 Company profile
           1.4 Sales information
           1.5 Literature review
2.         RESERCH METHODILOGY
           2.1 Management problem
           2.2 Objective
           2.3 Research design
           2.4 Types of sampling
           2.5 Types of data collection
           2.6 Limitation
3.         DATA ANALYSIS AND INTERPRITATION
4.         FINDINGS
5.         RECOMMENDATION
           5.1 conclusion
6.         APPENDIX
7.         BIBLIOGRAPHLY
CHATER: 1
INTRODUCTION
History of two wheeler:
Two-wheelers were originated by the modification of bicycles. Edward Butler,
an Englishman, built the first motor tricycle in 1884. The first gasoline-engine
motorcycle to appear publicly was built by Gottlieb Daimler, of Bad Cannstatt,
Germany, in 1885.


Gottlieb Daimler, who later teamed up with Karl Benz to form the Daimler-
Benz Corporation is credited with building the first motorcycle in 1885, one
wheel in the front and one in the back, although it had a smaller spring-loaded
outrigger wheel on each side. It was constructed mostly of wood, the wheels
were of the iron-banded wooden-spoked wagon-type. This two-wheeler was
powered by a single-cylinder Otto-cycle engine, and may have had a spray-type
carburetor.


One of this type of machine was demonstrated at fairs and circuses in the
eastern US in 1867. The first practical engines and motorcycles were designed
by the French and Belgians, followed by British, German, Italian, and American
makers.


The popularity of the vehicle increased, especially after 1910. During World
War First the motorcycle was used by all branches of the armed forces in
Europe, principally for dispatching. After the war it enjoyed a sport craze until
the Great Depression began in 1929. After World War II motorcycles are being
used for high-speed touring and sport competitions.
During the 1950s with the help of Western Europe and
parts of the United States,   the development of a new type of vehicle that is
light weighted motorcycle is become possible, later on it is known as moped.
The first moped Originating in Germany as a 50-cubic-centimetre machine with
simple controls and low initial cost, it was largely free of licensing and
insurance regulations except in Great Britain.


The more sophisticated motor scooter originated in Italy after World War II, led
by manufacture of a 125-cubic-centimetre model. Even with strong competition
from West Germany, France, Austria, and Britain, the Italian scooters
maintained the leading position in the diminishing market.


Industry Profile:-


India is the second largest manufacturer and producer of two-wheelers in the
world. It stands next only to Japan and China in terms of the number of two-
wheelers produced and domestic sales respectively.


The Indian two-wheeler industry made a small beginning in the early 50s when
Automobile Products of India started manufacturing scooters in the country.


In 1948, Bajaj Auto began trading in imported Vespa scooters and three-
wheelers. Finally, in 1960, it set up a shop to manufacture them in technical
collaboration with Piaggio of Italy. The agreement expired in 1971.
Because of government regulation, foreign companies were not allowed to
operate in Indian market. It was a complete seller market with the waiting
period for getting a scooter from Bajaj Auto being as high as 12 years.


The first Japanese motorcycles were introduced in the early eighties. TVS
Suzuki and Hero Honda brought in the first two-stroke and four-stroke engine
motorcycles respectively.


The industry had a smooth ride in the 50s, 60s and 70s when the Government
prohibited new entries and strictly controlled capacity expansion. The industry
saw a sudden growth in the 80s.


The two-wheeler market was opened to foreign competition in the mid-80s.
With the new feature of fuel efficient low power bikes, demand swelled,
resulting in Hero Honda - then the only producer of four stroke bikes (100cc
category), gaining a top slot.


The entry of Kinetic Honda in mid-eighties with a barometric scooter helped in
providing ease of use to the scooter owners. This helped in inducing youngsters
and working women, towards buying scooters, who were earlier, inclined
towards moped purchases.
Company Profile:


Bajaj Auto is a major Indian automobile manufacturer. It is India's second
largest and the world's 4th largest two- and three-wheeler maker. It is based in
Pune, Maharashtra, with plants in Akurdi and Chakan (near Pune),Waluj (near
Aurangabad) and Pantnagar in Uttaranchal. Bajaj Auto makes and exports
motorscooters, motorcycles and the auto rickshaw.


Bajaj Auto came into existence on November 29, 1945 as M/s Bachraj Trading
Corporation Private Limited. It started off by selling imported two- and three-
wheelers in India. In 1959, it obtained license from the Government of India to
manufacture two- and three-wheelers and it went public in 1960.


The company was mainly known for manufacturing the scooter which was
introduced with the brand name of Bajaj “Chetak”. Over the last decade, the
company has successfully changed its image from a scooter manufacturer to a
two wheeler manufacturer. Its product range encompasses Scooterettes,
Scooters and Motorcycles. Its real growth in numbers has come in the last four
years after successful introduction of a few models in the motorcycle segment.
Sales information:


               2007-08         2006-07         2005-06         2004-05
Motorcycles    2139779         2379499         1912306         1449710
Two            2161095         2399996         2029176         1602646
wheelers
Exports        482026          301766          174907          130945

Bajaj is the largest exporter of motorcycles in the country with a market share
of 63.55%. in the first quarter of financial year 2008-09 company sells 558633
motorcycles, and company’s total export were 170877 two-wheelers. The
company is having units in Indonesia, Latin America and Netherlands. It has
recently start new subsidiary in Netherlands with the investment of 583 crores.


LITERATURE REVIEW


About Advertisement:-


Advertising has come to stay as a part of the modem economic system and
present-day society. Without advertising communicating to consumers about the
vast variety of goods and services available is impossible. Now-a-days
advertising is being effectively used for promotion of number of goods.
Advertising has played a critical role in the development process by creating a
demand for goods. Multinational companies used advertisement as a tool of
communicating with its customers. Small firms are also using the advertisement
in local media for communication. A question may come up to the new firm that
what to communicate, how to communicate, which media to be used and how
often it should communicate and most importantly to
whom to communicate.


Various communicating tools are available for communicating with the
consumers. Advertisement is one of the communicating tools. A firm can
advertise through newspapers, magazines, brochures, pamphlets, hoardings,
T.V., internet, radio, directories, posters and leaflets etc. But all these
communicating tool may be of no use if the consumers are provided
unnecessary information. So an advertisement should take interest of what info
does the consumer need and should provide the same by advertising.


Advertising is an instrument of information. Advertisements gives information
about products, features, functions, specifications and prices to prospective
buyers. A company may get a competitive advantage by providing all the
necessary information demanded by the consumers.


Advertising informs a customer about the various choices available in the
market. It is also the most economical tool for providing the information to the
prospective audience.


According to Philip Kotler “advertisement are any paid form of non-personal
presentation and promotional of ideas, goods or services by an identified spons
CHAPTER: 2
RESEARCH METHODOLOGY
Research Methodology


Management Problem:
      What should be done by the Mahalaxmi Motors in order to create an
image through advertisement?


Problem Definition:
      How advertisement should be used in order to deliver and communicate
the message?


Primary Objective:
    Measure effectiveness of advertisement and effective way of using the
      advertisements.


Secondary Objective:
   • To find out important factor, to which customers give more importance
      while perceiving an advertisement.
   • To measure overall customer perception towards the advertisement.
   • To measure customer’s opinion towards the advertisements?
   • What information would the customer expect to get through the
      advertisements?


Research Design:
      Here the Descriptive research design has been used because here we want
to know the customers opinion towards the Advertisement.
Types of Sampling:
      Here we are going to use the Non Probability Sampling (convenience
sampling) method in order to collect the samples.


Types of Data Used:
      1. Primary Data:
      Primary data are collected by the Survey method of data collection.


      2. Secondary Data:
      Secondary data are collected from business magazines, research books,
marketing, other research reports and websites.


Types of Data Collection Method:
      The data collection method used is survey method. Here the primary data
are collected by questionnaire and secondary data are collected from the
websites and magazines and literature.


Sampling Plan: XXX
      It includes students, businessperson, and employees who are the potential
customers of the product.


Sample Size:
139 Respondent’s opinion is been taken.
Research Instrument:
      Questionnaire is going to be use for the purpose of the data collection as
the research instrument. Questionnaire will consist of closed ended, open ended
and single choice questions.


DATA COLLECTION:
Field Area:
Area for survey is Navsari city and surrounding region.


Contact Method:
Contact method for survey is face to face personal interview.

Statistical Test Used:

      Here I have used statistical tests in order to find out whether there is any
significance difference between sample statistic and hypothesized population
parameter.

One Sample T-test:

One sample T-test is used when the type of data are interval in nature. It’s used
to test whether the mean of a single variable differs from a specified constant or
not. The test carried out here is with the 95% confidence level.

How to Conduct Statistical Test:

I have used SPSS software for doing all kind of statistical test.
Various statistical terms:


Mean: The means value is obtained by adding up all the numbers and dividing
them by total by number of items.


Standard deviation: a probability distribution, random variable, or population
or multiset of values is a measure of its values.


LIMITATIONS


    The survey work was conducting with the Navsari city only so it can not
      cover the preference of other area’s consumer.
    The sample size taken for the survey work was 139 because of the limited
      time period.
    Every person gives answer as per their understanding so there is a
      possibility if mistakes in giving answer.
    There is a chance of mistake in the answers because of the limited
      knowledge of the respondent.
    This project work is prepared as per my limited under-standing.
    It is a consumer survey and not the market survey.
CHAPTER: 3
DATA ANALYSIS AND
 INTERPRITATION
1. Have you seen the advertisement of Bajaj’s
   motorcycles?


Purpose: This question is asked in order to know whether people are aware
and have seen the advertisement of Bajaj or not.



                     Awarenenss of Advertisement


                                2%




                                                                      Yes
                                                                      No




                                  98%




Interpretation:
From the above chart we can say that 98% that is 136 of the total respondents
are aware of the advertisement of Bajaj and only 3 of the total respondents do
not aware about the Bajaj’s advertisement. The ratio of awareness is too high
because Bajaj’s advertisements are broadcasted through various media like
Television, Radio and Newspaper and people came across the advertisement of
Bajaj through these media.
2. Which media do you most prefer for watching the advertisement?


Purpose: This question is asked in order to know that which media is preferred
most by the people for watching the advertisement.



                      Hoardings
             Magazine    4%
               12%

                                                               T.V.
                                             T.V.              Radio
         Internet
                                             45%               Newspaper
           14%
                                                               Internet
                                                               Magazine
                                                               Hoardings
          Newspaper
            13%
                           Radio
                           12%




Interpretation:
From the above chart we can say that 45% people prefer Television for
watching the advertisement while 14% prefer Internet, 13% people prefer
Newspaper, 12% people prefer Radio, 12% people prefer magazine and only
4% people prefer Hoardings for watching the advertisements. So we can say
that the most of the people preferred Television for watching the
advertisements.
4.1 What is the importance of “Mileage” to be
described in the advertisement of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (4.32) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the mileage.

Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not give greatly importance to the mileage.

Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4


One-Sample Statistics

                                            Std.
                                  Std.      Error
            N        Mean       Deviation   Mean
Milea
             139         4.32       1.057     .090
ge
One-Sample Test

                               Test Value = 4
                                         Mean  95% Confidence
                             Sig. (2- Differen Interval of the
              t      Df      tailed)       ce    Difference
                                               Lower Upper
Milea
             3.532    138         .001         .317       .14    .49
ge


Interpretation:
At 95% confidence level, the significance value is 0.001 which is less than 0.05;
therefore we reject the null hypothesis and accept the alternative hypothesis. In
other words, people do not give greatly importance to the mileage. So from the
mean 4.32 and from the t-value 3.532, we can say that people give above
greatly importance to the mileage.


4.2 What is the importance of “Price” to be described in the advertisement
of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.98) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the price.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
the people do not give greatly importance to the price.
Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05
Test value: 4

One-Sample Statistics

                                            Std.
                                  Std.      Error
           N       Mean         Deviation   Mean
pric
            139          3.98       1.201     .102
e



One-Sample Test

                                   Test Value = 4
                                             Mean  95% Confidence
                                 Sig. (2- Differen Interval of the
            t        Df          tailed)       ce    Difference
                                                   Lower Upper
pric
           -.212         138         .832     -.022   -.22     .18
e
Interpretation:
At 95% confidence level, the significance value is 0.832 which is greater than
0.05 therefore we accept the null hypothesis and reject the alternative
hypothesis. In other words we can say that people give greatly importance to the
price.


4.3 What is the importance of “Style” to be described in the advertisement
of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (4.08) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the style.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not give greatly importance to the style.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4
One-Sample Statistics

                                        Std.
                            Std.        Error
           N         Mean Deviation     Mean
style       139       4.08    1.029       .087


One-Sample Test

                               Test Value = 4
                                         Mean    95% Confidence
                             Sig. (2- Differen Interval of the
           t          Df     tailed)       ce      Difference
                                                 Lower Upper
style      .907        138        .366      .079   -.09       .25



Interpretation:
At 95% confidence level, the significance value is 0.366 which is greater than
0.05 and therefore we accept the null hypothesis and reject the alternative
hypothesis. In other words we can say that people give greatly importance to the
style of the bike.

4.4 What is the importance of “Power/Pick-up” to be described in the
advertisement of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (4.12) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the power.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not give greatly importance to the power.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4
One-Sample Statistics

                                            Std.
                                  Std.      Error
           N        Mean        Deviation   Mean
Pow
             139         4.12       1.011     .086
er

One-Sample Test

                                  Test Value = 4
                                            Mean   95% Confidence
                                Sig. (2- Differen Interval of the
            t            Df     tailed)       ce      Difference
                                           Upp
         Lower      Upper       Lower       er   Lower     Upper
Pow
           1.427          138        .156     .122    -.05    .29
er


Interpretation:
At 95% confidence level, the significance value is 0.156
which is greater than 0.05 therefore we accept the null hypothesis and reject the
alternative hypothesis. In other words, people give greatly importance to the
power.


4.5 What is the importance of “Features” to be described in the
advertisement of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.84) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the features.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not give greatly importance to the features.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4



One-Sample Statistics
Std.
                                Std.       Error
            N       Mean      Deviation    Mean
Featur
             139       3.84       1.098         .093
es

One-Sample Test

                                 Test Value = 4
                                           Mean  95% Confidence
                               Sig. (2- Differen Interval of the
             t        Df       tailed)       ce    Difference
                                                 Lower Upper
Featur
           -1.699      138         .092      -.158         -.34   .03
es


Interpretation:
At 95% confidence level, the significance value is 0.092 which is greater than
0.05 therefore we accept the null hypothesis and reject the alternative
hypothesis. In other words we can say that people give greatly importance to the
features to be described in the advertisement of a bike.


4.6 What is the importance of “Finance” to be described in the
advertisement of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.32) and hypothesized mean (4). In other words, we hypothesized that
people give partly importance to the finance.
Alternative       Hypothesis    (H1):     There   is     significant
difference between calculated mean and hypothesized mean. So we
hypothesized that people do not give partly importance to the finance.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.

Significance level: 0.05

Test value: 3
One-Sample Statistics

                                               Std.
                                  Std.         Error
            N         Mean      Deviation      Mean
finan
              139        3.32       1.167         .099
ce

One-Sample Test

                                   Test Value = 3
                                             Mean  95% Confidence
                                 Sig. (2- Differen Interval of the
              t          Df      tailed)       ce    Difference
                                                   Lower Upper
financ
            3.197         138           .002      .317         .12     .51
e


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05
and therefore we reject the null hypothesis and accept the alternative
hypothesis. In other words, people do not give partly importance to the finance
to be described in the advertisement. From mean 3.32 and
t-value 3.197, we can say that people give above partly importance to the
finance.


4.7 What is the importance of “Service” to be described in the
advertisement of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (4.08) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the service.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not give greatly importance to the service.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4

One-Sample Statistics

            N        Mean     Std.        Std.
                            Deviation     Error
Mean
servic
            139      4.08         1.210     .103
e

One-Sample Test

                                Test Value = 4
                                          Mean  95% Confidence
                              Sig. (2- Differen Interval of the
            t        Df       tailed)       ce    Difference
                                                Lower Upper
servic
            .771      138         .442       .079      -.12       .28
e



Interpretation:
At 95% confidence level, the significance value is 0.442 which is greater than
0.05 therefore we accept the null hypothesis and reject the alternative
hypothesis. In other words, people give greatly importance to the service.


4.8 What is the importance of “the image of the company” to be described
in the advertisement of a bike?
1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly
Important, 5=Most Important


Null Hypothesis (HO): There is no significant difference between calculated
mean (4.50) and hypothesized mean (4). In other words, we hypothesized that
people give greatly importance to the image of the company.
Alternative     Hypothesis       (H1):   There    is    significant
difference between calculated mean and hypothesized mean. In other words, we
hypothesized that people do not give greatly importance to the image of the
company.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 4
One-Sample Statistics

                                            Std.
                                  Std.      Error
            N       Mean        Deviation   Mean
Imag
              139        4.50        .912        .077
e


One-Sample Test

                                  Test Value = 4
                                            Mean  95% Confidence
                                Sig. (2- Differen Interval of the
            t            Df     tailed)       ce    Difference
                                                  Lower Upper
Imag
           6.511          138        .000        .504        .35      .66
e



Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05
and therefore we reject the null hypothesis and accept the alternative
hypothesis. In other words, people do not give greatly
importance to the image of the company. But from the mean 4.50 and t-value
6.511, we can say that people give above greatly importance to the image of the
company.

   5. The advertisements of Bajaj help you in purchasing a bike.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.37) and hypothesized mean (3). In other words, we hypothesized that
people are neutral about that the statement that advertisement of Bajaj’s bike
help them in purchasing a bike.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not neutral about the statement that the advertisement of Bajaj’s bike
help them in purchasing a bike.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05
Test value: 3




One-Sample Statistics
Std.
                                                    Std.         Error
                                 N       Mean     Deviation      Mean
Advertisement help in
                                  139      3.37          1.331     .113
purchasing bike


One-Sample Test

                                        Test Value = 3
                                                             95% Confidence
                                                              Interval of the
                                                                Difference
                                                             Lower Upper
Advertisemen
                   3.313       138        .001       .374        .15      .60
t help

Interpretation:
At 95% confidence level, the significance value is 0.001 which is less than
0.05; therefore we reject the null hypothesis and accept the alternative
hypothesis. In other words, people are not neutral about the statement that the
advertisement of Bajaj helps them in buying a new bike. But from the mean
3.37 and t-value 3.313, we can say that people are above neutral level about the
statement that advertisements of Bajaj’s bike help them in purchasing a bike.




   6. Comparison with other company’s bikes should be given.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
Null Hypothesis (HO): There is no significant difference between calculated
mean (3.50) and hypothesized mean (4). In other words, we hypothesized that
people agree that a comparison table between various bikes should be given.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not agree that a comparison table between various bikes should be
given.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05
Test value: 4


One-Sample Statistics

                                              Std.
                                    Std.      Error
                 N       Mean     Deviation   Mean
Comparis
                  139      3.50       1.024     .087
ons




  One-Sample Test

                                   Test Value = 4
95%
                                                        Confidence
                                                       Interval of the
                                                         Difference
                                                      Lower Upper
Compari
             -5.797      138        .000      -.504      -.68      -.33
sons


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05,
so we reject the null hypothesis and accept the alternative hypothesis. That’s
why we can say that people do not agree with the statement that comparative
advertisement of various bikes should be given.

   7. Comparison of Bajaj’s various bikes should be given.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.20) and hypothesized mean (3). In other words, we hypothesized that
people agree that a comparison table between Bajaj’s own bikes should be
given.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not neutral that a comparison table between Bajaj’s own bikes should
be given.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05


Test value: 3
One-Sample Statistics

                                              Std.
                                    Std.      Error
                N       Mean      Deviation   Mean
Compari
                  139      3.20       1.264     .107
son

One-Sample Test

                                    Test Value = 3
                                                       95% Confidence
                                                        Interval of the
                                                          Difference
                                                       Lower Upper
Compari
            1.879        138          .062      .201      -.01      .41
son


Interpretation:
At 95% confidence level, the significance value is 0.062 which is greater than
0.05, therefore we accept the null hypothesis and reject the alternative
hypothesis. So we can say that people are neutral with the statement that
comparative advertisement between Bajaj’s own bikes should be given.




8. Attractive colour of the advertisements is expected.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
Purpose: to know whether people like to see the colourful advertisements or
not.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.78) and hypothesized mean (4). In other words, we hypothesized that
people do not agree that attractive colours are expected by them in the
advertisements.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not agree that attractive colours is expected in the advertisements.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 4


                One-Sample Statistics

                                            Std.
                                  Std.      Error
            N       Mean        Deviation   Mean
Colo
             139         3.78       1.108     .094
ur


One-Sample Test
Test Value = 4
                                         Mean    95% Confidence
                             Sig. (2-   Differen Interval of the
           t        Df       tailed)       ce      Difference
                                                 Lower Upper
Colo
         -2.296      138         .023       -.216    -.40      -.03
ur


Interpretation:
At 95% confidence level, the significance value is 0.000 and therefore we reject
the null hypothesis and accept the alternative hypothesis. So we can say that
people do not expect and want to see the colourful advertisement.


9. Hoardings are a good way of getting information about bikes.


1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.35) and hypothesized mean (3). In other words, we hypothesized that
people are neutral about the statement that hoardings are good way of getting
information about bikes.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not at neutral level about the statement that hoardings are good way
of getting information about bikes.
Statistical Test: One sample t-test is chosen because the
measurement of data is interval in nature.
Significance level: 0.05
Test value: 3
One-Sample Statistics

                                                   Std.
                                    Std.           Error
             N           Mean       Deviation      Mean
Hoardi
       139               3.35       1.075          .091
ng

One-Sample Test

                                        Test Value = 3
                                                Mean   95% Confidence
                                    Sig. (2- Differen Interval of the
             T           Df         tailed)     ce     Difference
                                                       Lower Upper
Hoardi
                 3.788        138           .000      .345   .17   .53
ng


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05
and therefore we reject the null hypothesis and accept the alternative
hypothesis. So we can say that people are not neutral with the statement that the
hoardings are good way of getting information about bikes. So from the mean
3.35 and from the t-value 3.788, we can say that people are above neutral level
with the statement that the hoardings are good way of getting information about
the bikes.


10. Big advertisement plays more attention.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree,
5= Strongly Agree


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.57) and hypothesized mean (4). In other words, we hypothesized that
people agreed that they pay more attention towards big advertisement.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not agreed with the statement that they pay more attention towards
big advertisement.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4
                One-Sample Statistics

                                                   Std.
                                         Std.      Error
                     N         Mean    Deviation   Mean
Big
advertisemen             139    3.57       1.130     .096
t
One-Sample Test

                               Test Value = 4
                                         Mean  95% Confidence
                             Sig. (2- Differen Interval of the
            t        Df      tailed)       ce    Difference
                                               Lower Upper
Big
           -4.505     138         .000     -.432      -.62      -.24
ads


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05
and therefore we reject the null hypothesis and accept the alternative
hypothesis. In other words, people do not agree with the statement that they pay
more attention towards big advertisements. From the mean 3.57 and from the t-
value -4.505, we can say that people are less than agree with the statement that
they pay more attention towards big advertisement.


11. Involvement of celebrity in the advertisement creates brand-image.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Purpose: to know whether involvement of celebrity creates brand image of the
company or not.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.45) and hypothesized mean (3). In other words, we hypothesized that
people are neutral with the statement that they pay more attention when a
celebrity is included in the advertisements and it creates brand image about the
company.
Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not neutral about the statement that they pay more attention when a
celebrity is included in the advertisements and it creates brand image about the
company.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 3


One-Sample Statistics

                                             Std.
                                   Std.      Error
             N           Mean    Deviation   Mean
celebri
                139       3.45       1.168     .099
ty

One-Sample Test

                                   Test Value = 4
                                             Mean  95% Confidence
                                 Sig. (2- Differen Interval of the
              t           Df     tailed)       ce    Difference
                                                   Lower Upper
Celebr
            4.501          138        .000     .446    .25       .64
ity



Interpretation:
At 95% confidence level, the significance value is 0.000
which is less than 0.05; therefore we reject the null hypothesis and accept the
alternative hypothesis. So we can say that people do not agree with the
statement that they pay more attention when a celebrity is included in the
advertisements and it creates brand image in their minds about the company.
From the mean 3.45 and from the t-value 4.501, we can say that people above
neutral level with the statement that they pay more attention towards big
advertisements.


12. Showing advertisements frequently make a good brand-image.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Purpose: to know whether people appreciate the repetition of the
advertisement.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.40) and hypothesized mean (3). In other words, we hypothesized that
people are neutral about the statement that showing advertisements frequently
make a good brand-image of the company.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not at neutral level about the statement that showing advertisements
frequently make a good brand-image of the company.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 3
One-Sample Statistics

                                              Std.
                                   Std.       Error
                N      Mean      Deviation    Mean
repeat
                139     3.40         1.238      .105
ads

One-Sample Test

                                   Test Value = 3
                                                       95% Confidence
                                                        Interval of the
                                              Mean        Difference
                                 Sig. (2-    Differen
           t            df       tailed)        ce    Lower      Upper
repeat
               3.837       138        .000      .403       .20      .61
ads


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05;
therefore we reject the null hypothesis and accept the alternative hypothesis. So
we can say that people are not at neutral level about the statement that showing
advertisements frequently does make a good brand-image of the company.
From the mean 3.40 and from the t-value 3.837, we can say that people are
above neutral level with the statement that showing advertisements frequently
make a good brand-image of the company.


13. An advertisement on the first page gives more attention.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
Purpose: to know how much attention people pay to the advertisement
displayed on the first page.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.38) and hypothesized mean (4). In other words, we hypothesized that
people agree that they pay more attention when an advertisement is been
displayed on the first page.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 3


One-Sample Statistics

                                             Std.
                                   Std.      Error
              N          Mean    Deviation   Mean
first
                139       3.38       1.200     .102
page


One-Sample Test
Test Value = 3
                                                     95% Confidence
                                                      Interval of the
                                            Mean        Difference
                               Sig. (2-    Differen
          t           Df       tailed)        ce    Lower      Upper
first
              3.745     138         .000      .381       .18       .58
page


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05;
and therefore we reject the null hypothesis and accept the alternative
hypothesis. So we can say that people are not neutral with the statement that
they pay more attention when an advertisement is been displayed on the first
page. From the mean 3.38 and from the t-value 3.745, we can say that people
are above neutral level with the statement that they pay more attention when an
advertisement is been displayed on the first page.


14. The language of the advertisement should be simple.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Purpose: to know whether people prefer simple and easy to understand
language or not.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.66) and hypothesized mean (4). In other words, we hypothesized that
people agree that the language of the advertisement should be simple and easy.
Alternative      Hypothesis      (H1):    There    is     significant
difference between calculated mean and hypothesized mean. In other words, we
hypothesized that people do not agree with the statement that the language of
the advertisement should be simple and easy


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05
Test value: 4


One-Sample Statistics

                                                  Std.
                                    Std.          Error
                N        Mean     Deviation       Mean
Langua
                 139      3.66           1.126      .096
ge


One-Sample Test

                                    Test Value = 4
                                                             95% Confidence
                                                              Interval of the
                                                  Mean          Difference
                                   Sig. (2-      Differen
           t              Df       tailed)          ce    Lower         Upper
Langua
               -3.539      138           .001      -.338         -.53     -.15
ge


Interpretation:
At 95% confidence level, the significance value is 0.001
which is less than 0.05; and therefore we reject the null hypothesis and accept
the alternative hypothesis. So we can say that people do not agree with that the
language of the advertisement should be simple and easy. From the mean 3.66
and from the t-value -3.539, we can say that people are above neutral level with
the statement that the language of the advertisement should be simple and easy.


15. The advertisement describes the real quality of Bajaj’s bike.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Purpose: to know that how much people believe that the advertisement
describe the real quality of Bajaj’s bike.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.22) and hypothesized mean (4). In other words, we hypothesized that
people agree that the advertisement describes the real quality of Bajaj’s bike.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 4
One-Sample Statistics

                                          Std.
                               Std.       Error
           N       Mean      Deviation    Mean
Qual
            139       3.22       1.167      .099
ity

One-Sample Test

                               Test Value = 3
                                                    95% Confidence
                                                     Interval of the
                                          Mean         Difference
                             Sig. (2-    Differen
            t        Df      tailed)        ce      Lower     Upper
Qual
          2.252       138         .026       .223       .03      .42
ity

Interpretation:
At 95% confidence level, the significance value is 0.000 and therefore we reject
the null hypothesis and accept the alternative hypothesis. So we can say that
people do not agree that the advertisement describes the real quality of Bajaj’s
bike. From the mean 3.22 and from the t-value 2.252, we can say that people are
above neutral level with the statement that advertisement describes the real
quality of Bajaj’s bike.




16. You like to see the stunt making advertisements of bike.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree,
5= Strongly Agree


Purpose: to know whether people like the present stunt making advertisement
or not.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.43) and hypothesized mean (3). In other words, we hypothesized that
people agree that they like to see the stunt making advertisement of the Bajaj’s
bike.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not at neutral level with the statement that they like to see the stunt
making advertisement of the Bajaj’s bike.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 4

One-Sample Statistics

                                       Std.
                           Std.        Error
      N           Mean     Deviation   Mean
stunt 139         3.43     1.269       .108


One-Sample Test
Test Value = 3
                                                  95% Confidence
                                                   Interval of the
                                         Mean        Difference
                               Sig. (2- Differen
          t        Df          tailed)     ce    Lower      Upper
stunt    4.012      138             .000    .432    .22        .64


Interpretation:
At 95% confidence level, the significance value is 0.000 which is less than 0.05;
so we reject the null hypothesis and accept the alternative hypothesis. So we can
say that people do not agree that they like to see the stunt making advertisement
of the Bajaj’s bike. From the mean 3.43 and from the t-value 4.012, we can say
that people are above neutral level with the statement that they like to see the
stunt making advertisement of the Bajaj’s bike.


17. Showing advertisement in prime-time pays more attention.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Purpose: to know the attention level of people for the advertisement during
prime-time.
Null Hypothesis (HO): There is no significant difference between calculated
mean (3.20) and hypothesized mean (3). In other words, we hypothesized that
people are at neutral level that they pay more attention when an advertisement is
been telecast in prime-time.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not at neutral level that they pay more attention
when an advertisement is been telecast in prime-time.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.
Significance level: 0.05
Test value: 3
One-Sample Statistics

                                                 Std.
                                  Std.           Error
            N            Mean     Deviation      Mean
prime
            138          3.20     1.152          .098
time


One-Sample Test

                                    Test Value = 3
                                                          95% Confidence
                                                  Mean     Interval of the
                                   Sig. (2-      Differen    Difference
                 t         df      tailed)          ce    Lower Upper
prime
                1.996       137           .048      .196      .00      .39
time




Interpretation:
At 95% confidence level, the significance value is 0.048 which is less than 0.05;
and therefore we reject the null hypothesis and accept the alternative
hypothesis. So we can say that people are not at neutral
level that they pay more attention when an advertisement is been telecast in
prime-time. From the mean 3.20 and from the t-value 1.996, we can say that
people are above neutral level with the statement that they pay more attention
when an advertisement is been telecast in prime-time.


18. After seen advertisements, you like to buy a new bike of Bajaj.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree


Purpose: to know intention that person would like to buy the bike of Bajaj after
seen its advertisement.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.45) and hypothesized mean (3). In other words, we hypothesized that
people are at neutral level that after seen the advertisement of Bajaj’s bike they
would like to buy a new bike of Bajaj.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not at a neutral level that after seen the advertisement of Bajaj’s bike
they would like to buy a new bike of Bajaj.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05
Test value: 3
One-Sample Statistics

                                        Std.
                          Std.          Error
           N       Mean Deviation       Mean
buy         139     3.45    1.078         .091


                           One-Sample Test

                              Test Value = 3
                                                 95% Confidence
                                                  Interval of the
                                      Mean          Difference
                            Sig. (2- Differen
       T            Df      tailed)     ce    Lower        Upper
buy        4.956     138         .000    .453    .27          .63

Interpretation:
At 95% confidence level, the significance value is 0.000 which is lower than
0.05; so we reject the null hypothesis and accept the alternative hypothesis. So
we can say that people do not agree that after seen the advertisement of Bajaj’s
bike they would like to buy a new bike of Bajaj. From the mean 3.45 and from
the t-value 4.956, we can say that people are above neutral level with the
statement that after seen the advertisement of Bajaj’s bike they would like to
buy a new bike of Bajaj.


19. An advertisement showing various schemes like cash refunds, rebates,
gifts and free vouchers attract you.
1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
Purpose: to know that how much do these promotional
activities influence buying.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.28) and hypothesized mean (3). In other words, we hypothesized that
people are neutral with the statement that advertisement showing various
schemes attract them.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people are not at a neutral level that advertisement showing various schemes
attract them.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 3




One-Sample Statistics

                N        Mean     Std.      Std.
                                Deviation   Error
Mean
scheme
              139      3.28        1.222      .104
s


One-Sample Test

                                 Test Value = 3
                                                      95% Confidence
                                                       Interval of the
                                            Mean         Difference
                               Sig. (2-    Differen
              t       Df       tailed)        ce      Lower     Upper
scheme
            2.707       138         .008       .281       .08      .49
s


Interpretation:
At 95% confidence level, the significance value is 0.008 which is less than 0.05;
and therefore we reject the null hypothesis and accept the alternative
hypothesis. So we can say that people are not neutral with the statement that
advertisement showing various schemes attracts them. From the mean 3.28 and
from the t-value 2.707, we can say that people are above neutral level with the
statement that advertisement showing various schemes attracts them.




20. Bajaj’s advertisement provides you the necessary information.
   1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully
Purpose: to know whether present advertisement of Bajaj provide necessary
   info or not.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.04) and hypothesized mean (3). In other words, we hypothesized that
people agree that Bajaj’s advertisement provides partly information to the
people.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not agree that Bajaj’s advertisement provides partly information to
the people.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 3




One-Sample Statistics
Std.
                              Std.          Error
          N       Mean Deviation            Mean
info       139     3.04    1.215             .103

One-Sample Test

                              Test Value = 3
                                        Mean          95% Confidence
                            Sig. (2-       Differen    Interval of the
          T         Df       tailed)         ce         Difference
                                                    Lower       Upper
info       .419      138            .676       .043   -.16         .25

Interpretation:
At 95% confidence level, the significance value is 0.676 and therefore we
accept the null hypothesis and reject the alternative hypothesis. From the mean
3.04 and from the t-value .419, we can say that Bajaj’s advertisement provides
partly information to the people.




   21. You admire present advertisement of Bajaj.
   1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully


Purpose: to know that people admire present advertisement of Bajaj or not.
Null Hypothesis (HO): There is no significant difference between calculated
mean (3.54) and hypothesized mean (4). In other words, we hypothesized that
people greatly admire the present advertisement of Bajaj.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people do not greatly admire the present advertisement of Bajaj.


Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05
Test value: 4


                One-Sample Statistics

                                            Std.
                                  Std.      Error
            N        Mean       Deviation   Mean
Admi
              139        3.54       1.072     .091
re




One-Sample Test
Test Value = 4
                                                       95% Confidence
                                                        Interval of the
                                             Mean         Difference
                              Sig. (2-      Differen
            t        Df       tailed)          ce      Lower    Upper
admir
         -5.065     138        .000          -.460      -.64     -.28
e


Interpretation:
At 95% confidence level, the significance value is 0.000 and therefore we reject
the null hypothesis and accept the alternative hypothesis. So we can say that
people do not greatly admire the present advertisement of Bajaj. From the mean
3.54 and from the t-value -5.065, we can say that people admire the present
advertisement of Bajaj less than greatly.


22. The advertisement of Bajaj meets with what it says.
   1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully


Purpose: to know whether people believe that the bike meets with the
advertisement with what it is saying.


Null Hypothesis (HO): There is no significant difference between calculated
mean (3.30) and hypothesized mean (3). In other words, we hypothesized that
people partly believe that the advertisement of Bajaj meets with what it says.


Alternative Hypothesis (H1): There is significant difference between
calculated mean and hypothesized mean. In other words, we hypothesized that
people partly believe that the advertisement of Bajaj meets with what it says.
Statistical Test: One sample t-test is chosen because the measurement of data
is interval in nature.


Significance level: 0.05


Test value: 3


One-Sample Statistics

                                        Std.
                           Std.         Error
            N       Mean Deviation      Mean
meet         139     3.30    1.184        .100


One-Sample Test

                              Test Value = 3
                                                  95% Confidence
                                                   Interval of the
                                      Mean           Difference
                            Sig. (2- Differen
        t            Df     tailed)     ce    Lower         Upper
meet        3.010     138        .003    .302    .10           .50




Interpretation:
At 95% confidence level, the significance value is 0.003 which is less than 0.05;
and therefore we reject the null hypothesis and accept the alternative
hypothesis. So we can say that people do not partly believe that the
advertisement of Bajaj meets with what it says. From the
mean 3.30 and from the t-value -5.065, we can say that people admire the
present advertisement of Bajaj more than partly.




23. At which place you pay more attention to hoardings?
[   ] Bus-stop      [   ] Railway station        [   ] Public garden
[   ] Highways      [   ] Traffic Signal


Purpose: - to know where people pay more attention to the hoardings.
                    Where to see the hoarding


                              Frequen                Valid      Cumulativ
                              cy           Percent   Percent    e Percent
            bus-stop          22           15.8      15.8       15.8
            railway station   40           28.8      28.8       44.6
            public garden     33           23.7      23.7       68.3
            Highway           16           11.5      11.5       79.9
            traffic signal    28           20.1      20.1       100.0
            Total             139          100.0     100.0

Interpretation:-
From the above figures of the table, we can say that from 139 respondents,
28.8% people would like to see the hoardings at the Railway Station, 23.7%
would like to see the hoardings at the Public Garden, 20.1% would like to see
hoardings at the traffic signal, 15.8% people would like to see the hoardings at
the Bus-stop while only 11.5% people would like to see the hoardings at the
highways.
24.In which media would you like to find the
   advertisement of “Mahalaxmi Auto” in Navsari?
   [    ] Newspaper                        [     ] Radio
   [    ] Ad pamphlets                     [     ] T.V.


Purpose: - to know which media do the people prefer most to see the
advertisement.
                   Media preference by people
                           Frequen              Valid      Cumulativ
                           cy        Percent    Percent    e Percent
Valid      Newspaper       51        36.7       36.7       36.7
           Radio           23        16.5       16.5       53.2
           Ad pamphlets    26        18.7       18.7       71.9
           T.V.            39        28.1       28.1       100.0
           Total           139       100.0      100.0




Interpretation:-
From the above table we can say that amongst the 139 respondents, 36.7%
respondents would like to see the advertisement of Bajaj in Newspaper while
28.1% respondent prefer Television for watching the advertisement of
Mahalaxmi Motors, 18.7% respondents would prefer the ad pamphlets for
advertisement while only 16.5% people would like to prefer Radio for the
advertisements. So we can say that showing the advertisement in the newspaper
might be a good way of communicating with the people.

Cross tabulation between gender and media preferred by them.
Gender and media Cross tabulation

                                                Media
                               newspap               ad                        Total
                                  er        radio pamphlets          tv
gender      male      Count          40         15       13               26       94
                      %
                      within     42.6%      16.0%         13.8%    27.7% 100.0%
                      gender
            female    Count            11        8           13           13       45
                      %
                      within     24.4%      17.8%         28.9%    28.9% 100.0%
                      gender
Total                 Count            51       23           26           39     139
                      %
                      within     36.7%      16.5%         18.7%    28.1% 100.0%
                      gender


Interpretation:-
From the table we can say that the 42.6% of male prefer newspapers for
advertisements while only 24.4% females prefer the newspapers for
advertisements. Only 27.7% male preferred television for advertisement while
28.9% of female prefer television. So, we can say that newspaper is a good way
of communicating with the male customer.



         Gender and preference of colourful advertisements Cross tabulation

                                                Colour                         Total
                               strong
                                  ly
                               disagr disagr neutra               strongly
                                 ee     ee     l    agree           agree
Gend      Male     Count
                                   6        7        15     39            27      94
er
% within                    16.0   41.5     28.7%   100.0
                  gender      6.4%    7.4%
                                                %      %                 %
        Femal Count
                                  1      6      7      19        12      45
        e
              % within                13.3    15.6   42.2             100.0
                              2.2%                            26.7%
              gender                    %       %      %                 %
Total         Count               7     13      22     58        39     139
              % within                        15.8   41.7             100.0
                              5.0%    9.4%                    28.1%
              gender                            %      %                 %


Interpretation:-
From the above table we can see that the 41.5% males and 42.2% females
agrees that they like colourful advertisements while 28.7% male and 26.7%
females like the colourful advertisement. So, we can say that both male and
female are either agree or strongly agree that they like the colourful
advertisemtnts.
CHAPTER: 4
 FINDINGS
Findings:
      From the total respondents, 98% respondents are aware about Bajaj’s
advertisement. So, we can say that the advertisement of Bajaj reaches to the
most of the people via different media.


      From the survey it has been found out that the 45% of the respondents
preferred Television for watching the advertisements but for the advertisement
of Mahalaxmi Motors 36.7%people prefer Newspaper.


      It has been found out that amongst the 122 bike owners 31 person has got
Bajaj bikes and it stood at the second position in Navsari in terms of numbers of
two wheelers.


      It has been also found out that Railway-station is the most preferable
location where people pay more attention towards the hoarding.


      I have found out that the promotional schemes play important role.


      From the cross tabulation, it has been found out that behaviour of male
and female differs significantly. Males prefer Newspapers while the females
prefer Television and ad pamphlets.


      From the cross tabulation I have also found out that people usually pay
more attention toward the colourful advertisements rather than simple
advertisements.
From the one sample t-test it is also found out that
price is the greatly important factor which people wants to see in the
advertisements. Samely, people give great importance to style, power, various
features and services.
CHAPTER: 5

RECOMMENDATION:
Recommendation:
      This recommendation is made on the base of analyzing the questions
asked to the consumers and their responses. This recommendation is based on
my findings and limited knowledge.


      From the survey it can be said that most of people are aware of the
advertisement of Bajaj and Mahalaxmi Motors should use Newspaper and
Television as the media of advertisement.


      The colorful advertisement taken more consideration by all, so the
company should use colourful advertisement in newspaper as well as in ad-
pamphlets too.


      People pay more attention towards those advertisements which satisfy
those criteria which are greatly important to them like price of the bike, style,
power, features and services.


      Promotional schemes are also a good way to make the advertisement
more effective one.


      As the people pay more attention to the hoardings at the railway station,
the company can use the same for the advertising.


      Company enjoys the second position in Navsari so it can strengthen its
position by using above mentioned recommendations.
Conclusion:


       From the survey I conclude that advertisements are been shown widely
and awareness of the same is too high.


       Form the survey I can conclude that consumer pay more attention to the
broadcast media as per my analysis. Television and Print media are having most
of the reach and can be used for advertisement if the company wants good
results.


       I also conclude that the advertisement accompanied with all the necessary
information and criteria in which consumers are interested can make a good
image of the company and make the advertisement more effective one.


       There is no doubt that company will succeed if it provide all the
necessary information which a consumer requires.
CHAPTER 6:
APPENDIX
I, Mr. Arjunbhai B. Patil student of M.B.A. of Sahyadri institute of
management studies, pune, prepared this questionnaire in order to prepare a
project work meant for educational purpose only. No personal information will
be disclosed in any form at anywhere.


3. Have you seen the advertisement of Bajaj’s motorcycles?
        [    ] Yes      [   ] No


4. Which media do you most prefer for watching the advertisement?
[   ] T.V.                  [   ] Radio            [   ] Newspaper
[   ] Internet              [   ] Magazine         [   ] Hoardings
5. Indicate the time you spent in the following media per day.


T.V.           Most 1              2         3            4            5   Least
Radio          Most 1              2         3            4            5   Least
Newspaper Most 1                   2         3            4            5   Least
Internet       Most 1              2         3            4            5   Least
6. What is the importance of following criteria to be
   described in the advertisement of a bike?


                      Not         Marginally Partly       Greatly       Most
                      Important Important      Important Important Important
    Mileage
    Price
    Style / Looks
    Power / Pick-
    up
    Features
    Financial
    Schemes
    Service
    Company
    Image

Please put tick mark for the following questions.
   1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly
   Agree
7. The advertisements of Bajaj help you in purchasing a bike.
                                                                1   2     3    4
   5
8. Comparison with other company’s bikes should be given

                                                                    1     2    3
   4   5
9. Comparison of Bajaj’s various bikes should be given.
                                                            1   2   3      4   5
10. Attractive colour of the advertisements is expected.


                                                              1    2           3       4       5
11. Hoardings are a good way of getting information about bikes.

                                                              1    2           3       4       5
12. Big advertisement plays more attention.

                                                                   1       2       3       4
   5
13.Involvement of celebrity in the advertisement creates brand-image.
                                                              1    2           3       4   5
14.Showing advertisements frequently make a good brand-image.
                                                              1    2           3       4       5
15.An advertisement on the first page gives more attention.
                                                              1    2           3       4       5
16.The language of the advertisement should be simple.
                                                              1    2           3       4       5
17.The advertisement describes the real quality of Bajaj’s bike.
                                                                           1       2       3       4
   5
18.You like to see the stunt making advertisements of bike.
                                                              1    2           3   4       5
19.Showing advertisement in prime-time pays more attention.
                                                              1        2       3       4       5
20.After seen advertisements, you like to buy a new bike of Bajaj.


                                                              1    2           3       4   5
21.An advertisement showing various schemes like cash refunds,
rebates, gifts and free vouchers attract you.
1       2    3   4    5


    Please put tick-mark for following questions:


    1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully


22.Bajaj’s advertisement provides you the necessary information.
                                                             1       2    3       4   5
23.You admire present advertisement of Bajaj.
                                                             1       2    3       4   5
24. The advertisement of Bajaj meets with what it says.

    1       2    3    4   5


25.At which place you pay more attention to hoardings?
[   ] Bus-stop                      [   ] Railway station        [       ] Public
garden
[   ] Highways                [   ] Traffic Signal
26.In which media would you like to find the advertisement of “Mahalaxmi
Auto” in Navsari?
    [       ] Newspaper             Please specify_______________________
    [       ] Radio                 [   ] Ad pamphlets           [       ] T.V.
Personal Detail
Name:               ___________________________________________________
Age:
                [     ] 18-24 Year          [    ] 25-31 Year
                [     ] 32-38 Year          [    ] 39-45 Year
                [     ] 45 Year & Above
Gender:
                [     ] Male                [    ] Female
Occupation:
[   ] Student           [   ] Service               [   ] Professional
[   ] Businessman [         ] Housewife     [    ] Other please specify
_______________
Present Vehicle Owned:
[   ] Bajaj             Brand _________________
[   ] Hero-Honda Brand _________________
[   ] Honda             Brand _________________
[   ] TVS               Brand _________________
[   ] Other             Brand _________________
Family Annual Income:
              [      ] Less Than 1, 00,000 Rs.
                [     ] 1, 00,000 - 2, 00, 00 Rs.
                [     ] 2, 00,001 - 3, 00,000 Rs.
[   ] 3, 00,001 - 4, 00,000 Rs.
          [   ] Above 4, 00,000




                         BIBILOGRAPHY



 www.google.com

 www.bajajauto.com

 www.autopassion.com




phillph kotler 12th addition
spaa15 software
Bajaj adv

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  • 1. A PROJECT REPORT ON IMPACT OF ADVERTISEMENT OF BAJAJ ON CUSTOMERS UNDERTAKEN AT (MAHALAXMI MOTORS, NAVSARI) Submitted By: (Arjunbhai B.Patill) (0039) Guided By: (Mrs.Verangni patil) MBA PROGRAMME (YEAR 2007-2009) SAHYADRI INSTITUTE OF MANAGEMENT STUDIES UNIVERSITY OF PUNE
  • 2. SAHYADRI INSTITUTE OF MANAGEMENT STUDIES COLLEGE CERTIFICATE This is to certify that the Summer Project report entitled “Impact of advertisement of Bajaj on customer” at Mahalaxmi Motors Ltd. Submitted by Arjunbhai B. Patil, 0039 towards the partial fulfillment of the requirement for the degree of Master of Business Administration has been found satisfactory. [ Mrs. Verangni patil ] [Dr. Nitin Mankar] Faculty Guide Director
  • 3. DECLARATION I hereby declare that the summer project report entitled “Impact of advertisement of Bajaj on customers” is purely an original work done by me toward the fulfillment of the award of degree of Master of Business Administration. Any information taken from different sources has been duly acknowledged. I further declare that the personal data and information received from any respondent during survey has not been shared with any one and is used for academic purpose only. Arjunbhai B. Patil
  • 4. ACKNOWLEDGEMENT First I would like to thank Dr. Nitin Mankar, Director, Sahyadri institute of Mangement Studies, Tathawade for making available all facilities in fulfilling the requirements for the research work. To make anything successful one need help and corporation from people involve directly or indirectly. It was my reminding experience to work with my guide Mrs. Verangni patil, Faculty, Sahyadri institute of Mangement Studies, Tathawade, I wish to express my deep sense of gratitude to them for providing me valuable comments and suggestion for making this project. Indeed they have served me with their best knowledge to sharpen and refine my knowledge about the subject. I consider its privilege of mine to work under their guidance and supervision. I also wants to thank Mr. Dhaval Patel, managing director of Mahalaxmi Motors for allowing me and helping out to carry the project work at Mahalaxmi Motors. I also thank to all the staff of Mahalaxmi Motors for providing their valuable time and knowledge to me. Arjunbhai B. Patil
  • 5. INDEX Chapter Particulars Page no. 1. INTRODUCTION 1.1 History of two wheeler 1.2 Industry profile 1.3 Company profile 1.4 Sales information 1.5 Literature review 2. RESERCH METHODILOGY 2.1 Management problem 2.2 Objective 2.3 Research design 2.4 Types of sampling 2.5 Types of data collection 2.6 Limitation 3. DATA ANALYSIS AND INTERPRITATION 4. FINDINGS 5. RECOMMENDATION 5.1 conclusion 6. APPENDIX 7. BIBLIOGRAPHLY
  • 7. History of two wheeler: Two-wheelers were originated by the modification of bicycles. Edward Butler, an Englishman, built the first motor tricycle in 1884. The first gasoline-engine motorcycle to appear publicly was built by Gottlieb Daimler, of Bad Cannstatt, Germany, in 1885. Gottlieb Daimler, who later teamed up with Karl Benz to form the Daimler- Benz Corporation is credited with building the first motorcycle in 1885, one wheel in the front and one in the back, although it had a smaller spring-loaded outrigger wheel on each side. It was constructed mostly of wood, the wheels were of the iron-banded wooden-spoked wagon-type. This two-wheeler was powered by a single-cylinder Otto-cycle engine, and may have had a spray-type carburetor. One of this type of machine was demonstrated at fairs and circuses in the eastern US in 1867. The first practical engines and motorcycles were designed by the French and Belgians, followed by British, German, Italian, and American makers. The popularity of the vehicle increased, especially after 1910. During World War First the motorcycle was used by all branches of the armed forces in Europe, principally for dispatching. After the war it enjoyed a sport craze until the Great Depression began in 1929. After World War II motorcycles are being used for high-speed touring and sport competitions.
  • 8. During the 1950s with the help of Western Europe and parts of the United States, the development of a new type of vehicle that is light weighted motorcycle is become possible, later on it is known as moped. The first moped Originating in Germany as a 50-cubic-centimetre machine with simple controls and low initial cost, it was largely free of licensing and insurance regulations except in Great Britain. The more sophisticated motor scooter originated in Italy after World War II, led by manufacture of a 125-cubic-centimetre model. Even with strong competition from West Germany, France, Austria, and Britain, the Italian scooters maintained the leading position in the diminishing market. Industry Profile:- India is the second largest manufacturer and producer of two-wheelers in the world. It stands next only to Japan and China in terms of the number of two- wheelers produced and domestic sales respectively. The Indian two-wheeler industry made a small beginning in the early 50s when Automobile Products of India started manufacturing scooters in the country. In 1948, Bajaj Auto began trading in imported Vespa scooters and three- wheelers. Finally, in 1960, it set up a shop to manufacture them in technical collaboration with Piaggio of Italy. The agreement expired in 1971.
  • 9. Because of government regulation, foreign companies were not allowed to operate in Indian market. It was a complete seller market with the waiting period for getting a scooter from Bajaj Auto being as high as 12 years. The first Japanese motorcycles were introduced in the early eighties. TVS Suzuki and Hero Honda brought in the first two-stroke and four-stroke engine motorcycles respectively. The industry had a smooth ride in the 50s, 60s and 70s when the Government prohibited new entries and strictly controlled capacity expansion. The industry saw a sudden growth in the 80s. The two-wheeler market was opened to foreign competition in the mid-80s. With the new feature of fuel efficient low power bikes, demand swelled, resulting in Hero Honda - then the only producer of four stroke bikes (100cc category), gaining a top slot. The entry of Kinetic Honda in mid-eighties with a barometric scooter helped in providing ease of use to the scooter owners. This helped in inducing youngsters and working women, towards buying scooters, who were earlier, inclined towards moped purchases.
  • 10. Company Profile: Bajaj Auto is a major Indian automobile manufacturer. It is India's second largest and the world's 4th largest two- and three-wheeler maker. It is based in Pune, Maharashtra, with plants in Akurdi and Chakan (near Pune),Waluj (near Aurangabad) and Pantnagar in Uttaranchal. Bajaj Auto makes and exports motorscooters, motorcycles and the auto rickshaw. Bajaj Auto came into existence on November 29, 1945 as M/s Bachraj Trading Corporation Private Limited. It started off by selling imported two- and three- wheelers in India. In 1959, it obtained license from the Government of India to manufacture two- and three-wheelers and it went public in 1960. The company was mainly known for manufacturing the scooter which was introduced with the brand name of Bajaj “Chetak”. Over the last decade, the company has successfully changed its image from a scooter manufacturer to a two wheeler manufacturer. Its product range encompasses Scooterettes, Scooters and Motorcycles. Its real growth in numbers has come in the last four years after successful introduction of a few models in the motorcycle segment.
  • 11. Sales information: 2007-08 2006-07 2005-06 2004-05 Motorcycles 2139779 2379499 1912306 1449710 Two 2161095 2399996 2029176 1602646 wheelers Exports 482026 301766 174907 130945 Bajaj is the largest exporter of motorcycles in the country with a market share of 63.55%. in the first quarter of financial year 2008-09 company sells 558633 motorcycles, and company’s total export were 170877 two-wheelers. The company is having units in Indonesia, Latin America and Netherlands. It has recently start new subsidiary in Netherlands with the investment of 583 crores. LITERATURE REVIEW About Advertisement:- Advertising has come to stay as a part of the modem economic system and present-day society. Without advertising communicating to consumers about the vast variety of goods and services available is impossible. Now-a-days advertising is being effectively used for promotion of number of goods. Advertising has played a critical role in the development process by creating a demand for goods. Multinational companies used advertisement as a tool of communicating with its customers. Small firms are also using the advertisement in local media for communication. A question may come up to the new firm that what to communicate, how to communicate, which media to be used and how
  • 12. often it should communicate and most importantly to whom to communicate. Various communicating tools are available for communicating with the consumers. Advertisement is one of the communicating tools. A firm can advertise through newspapers, magazines, brochures, pamphlets, hoardings, T.V., internet, radio, directories, posters and leaflets etc. But all these communicating tool may be of no use if the consumers are provided unnecessary information. So an advertisement should take interest of what info does the consumer need and should provide the same by advertising. Advertising is an instrument of information. Advertisements gives information about products, features, functions, specifications and prices to prospective buyers. A company may get a competitive advantage by providing all the necessary information demanded by the consumers. Advertising informs a customer about the various choices available in the market. It is also the most economical tool for providing the information to the prospective audience. According to Philip Kotler “advertisement are any paid form of non-personal presentation and promotional of ideas, goods or services by an identified spons
  • 14. Research Methodology Management Problem: What should be done by the Mahalaxmi Motors in order to create an image through advertisement? Problem Definition: How advertisement should be used in order to deliver and communicate the message? Primary Objective:  Measure effectiveness of advertisement and effective way of using the advertisements. Secondary Objective: • To find out important factor, to which customers give more importance while perceiving an advertisement. • To measure overall customer perception towards the advertisement. • To measure customer’s opinion towards the advertisements? • What information would the customer expect to get through the advertisements? Research Design: Here the Descriptive research design has been used because here we want to know the customers opinion towards the Advertisement.
  • 15. Types of Sampling: Here we are going to use the Non Probability Sampling (convenience sampling) method in order to collect the samples. Types of Data Used: 1. Primary Data: Primary data are collected by the Survey method of data collection. 2. Secondary Data: Secondary data are collected from business magazines, research books, marketing, other research reports and websites. Types of Data Collection Method: The data collection method used is survey method. Here the primary data are collected by questionnaire and secondary data are collected from the websites and magazines and literature. Sampling Plan: XXX It includes students, businessperson, and employees who are the potential customers of the product. Sample Size: 139 Respondent’s opinion is been taken.
  • 16. Research Instrument: Questionnaire is going to be use for the purpose of the data collection as the research instrument. Questionnaire will consist of closed ended, open ended and single choice questions. DATA COLLECTION: Field Area: Area for survey is Navsari city and surrounding region. Contact Method: Contact method for survey is face to face personal interview. Statistical Test Used: Here I have used statistical tests in order to find out whether there is any significance difference between sample statistic and hypothesized population parameter. One Sample T-test: One sample T-test is used when the type of data are interval in nature. It’s used to test whether the mean of a single variable differs from a specified constant or not. The test carried out here is with the 95% confidence level. How to Conduct Statistical Test: I have used SPSS software for doing all kind of statistical test.
  • 17. Various statistical terms: Mean: The means value is obtained by adding up all the numbers and dividing them by total by number of items. Standard deviation: a probability distribution, random variable, or population or multiset of values is a measure of its values. LIMITATIONS  The survey work was conducting with the Navsari city only so it can not cover the preference of other area’s consumer.  The sample size taken for the survey work was 139 because of the limited time period.  Every person gives answer as per their understanding so there is a possibility if mistakes in giving answer.  There is a chance of mistake in the answers because of the limited knowledge of the respondent.  This project work is prepared as per my limited under-standing.  It is a consumer survey and not the market survey.
  • 18. CHAPTER: 3 DATA ANALYSIS AND INTERPRITATION
  • 19. 1. Have you seen the advertisement of Bajaj’s motorcycles? Purpose: This question is asked in order to know whether people are aware and have seen the advertisement of Bajaj or not. Awarenenss of Advertisement 2% Yes No 98% Interpretation: From the above chart we can say that 98% that is 136 of the total respondents are aware of the advertisement of Bajaj and only 3 of the total respondents do not aware about the Bajaj’s advertisement. The ratio of awareness is too high because Bajaj’s advertisements are broadcasted through various media like Television, Radio and Newspaper and people came across the advertisement of Bajaj through these media.
  • 20. 2. Which media do you most prefer for watching the advertisement? Purpose: This question is asked in order to know that which media is preferred most by the people for watching the advertisement. Hoardings Magazine 4% 12% T.V. T.V. Radio Internet 45% Newspaper 14% Internet Magazine Hoardings Newspaper 13% Radio 12% Interpretation: From the above chart we can say that 45% people prefer Television for watching the advertisement while 14% prefer Internet, 13% people prefer Newspaper, 12% people prefer Radio, 12% people prefer magazine and only 4% people prefer Hoardings for watching the advertisements. So we can say that the most of the people preferred Television for watching the advertisements.
  • 21. 4.1 What is the importance of “Mileage” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (4.32) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the mileage. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not give greatly importance to the mileage. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Milea 139 4.32 1.057 .090 ge
  • 22. One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper Milea 3.532 138 .001 .317 .14 .49 ge Interpretation: At 95% confidence level, the significance value is 0.001 which is less than 0.05; therefore we reject the null hypothesis and accept the alternative hypothesis. In other words, people do not give greatly importance to the mileage. So from the mean 4.32 and from the t-value 3.532, we can say that people give above greatly importance to the mileage. 4.2 What is the importance of “Price” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (3.98) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the price. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that the people do not give greatly importance to the price.
  • 23. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean pric 139 3.98 1.201 .102 e One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper pric -.212 138 .832 -.022 -.22 .18 e
  • 24. Interpretation: At 95% confidence level, the significance value is 0.832 which is greater than 0.05 therefore we accept the null hypothesis and reject the alternative hypothesis. In other words we can say that people give greatly importance to the price. 4.3 What is the importance of “Style” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (4.08) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the style. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not give greatly importance to the style. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4
  • 25. One-Sample Statistics Std. Std. Error N Mean Deviation Mean style 139 4.08 1.029 .087 One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper style .907 138 .366 .079 -.09 .25 Interpretation: At 95% confidence level, the significance value is 0.366 which is greater than 0.05 and therefore we accept the null hypothesis and reject the alternative hypothesis. In other words we can say that people give greatly importance to the style of the bike. 4.4 What is the importance of “Power/Pick-up” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (4.12) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the power.
  • 26. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not give greatly importance to the power. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Pow 139 4.12 1.011 .086 er One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Upp Lower Upper Lower er Lower Upper Pow 1.427 138 .156 .122 -.05 .29 er Interpretation:
  • 27. At 95% confidence level, the significance value is 0.156 which is greater than 0.05 therefore we accept the null hypothesis and reject the alternative hypothesis. In other words, people give greatly importance to the power. 4.5 What is the importance of “Features” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (3.84) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the features. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not give greatly importance to the features. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics
  • 28. Std. Std. Error N Mean Deviation Mean Featur 139 3.84 1.098 .093 es One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper Featur -1.699 138 .092 -.158 -.34 .03 es Interpretation: At 95% confidence level, the significance value is 0.092 which is greater than 0.05 therefore we accept the null hypothesis and reject the alternative hypothesis. In other words we can say that people give greatly importance to the features to be described in the advertisement of a bike. 4.6 What is the importance of “Finance” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (3.32) and hypothesized mean (4). In other words, we hypothesized that people give partly importance to the finance.
  • 29. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. So we hypothesized that people do not give partly importance to the finance. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean finan 139 3.32 1.167 .099 ce One-Sample Test Test Value = 3 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper financ 3.197 138 .002 .317 .12 .51 e Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05 and therefore we reject the null hypothesis and accept the alternative hypothesis. In other words, people do not give partly importance to the finance
  • 30. to be described in the advertisement. From mean 3.32 and t-value 3.197, we can say that people give above partly importance to the finance. 4.7 What is the importance of “Service” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (4.08) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the service. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not give greatly importance to the service. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics N Mean Std. Std. Deviation Error
  • 31. Mean servic 139 4.08 1.210 .103 e One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper servic .771 138 .442 .079 -.12 .28 e Interpretation: At 95% confidence level, the significance value is 0.442 which is greater than 0.05 therefore we accept the null hypothesis and reject the alternative hypothesis. In other words, people give greatly importance to the service. 4.8 What is the importance of “the image of the company” to be described in the advertisement of a bike? 1=Not Important, 2=marginally Important, 3=Partly Important, 4=Greatly Important, 5=Most Important Null Hypothesis (HO): There is no significant difference between calculated mean (4.50) and hypothesized mean (4). In other words, we hypothesized that people give greatly importance to the image of the company.
  • 32. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not give greatly importance to the image of the company. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Imag 139 4.50 .912 .077 e One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper Imag 6.511 138 .000 .504 .35 .66 e Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05 and therefore we reject the null hypothesis and accept the alternative
  • 33. hypothesis. In other words, people do not give greatly importance to the image of the company. But from the mean 4.50 and t-value 6.511, we can say that people give above greatly importance to the image of the company. 5. The advertisements of Bajaj help you in purchasing a bike. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Null Hypothesis (HO): There is no significant difference between calculated mean (3.37) and hypothesized mean (3). In other words, we hypothesized that people are neutral about that the statement that advertisement of Bajaj’s bike help them in purchasing a bike. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not neutral about the statement that the advertisement of Bajaj’s bike help them in purchasing a bike. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics
  • 34. Std. Std. Error N Mean Deviation Mean Advertisement help in 139 3.37 1.331 .113 purchasing bike One-Sample Test Test Value = 3 95% Confidence Interval of the Difference Lower Upper Advertisemen 3.313 138 .001 .374 .15 .60 t help Interpretation: At 95% confidence level, the significance value is 0.001 which is less than 0.05; therefore we reject the null hypothesis and accept the alternative hypothesis. In other words, people are not neutral about the statement that the advertisement of Bajaj helps them in buying a new bike. But from the mean 3.37 and t-value 3.313, we can say that people are above neutral level about the statement that advertisements of Bajaj’s bike help them in purchasing a bike. 6. Comparison with other company’s bikes should be given. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
  • 35. Null Hypothesis (HO): There is no significant difference between calculated mean (3.50) and hypothesized mean (4). In other words, we hypothesized that people agree that a comparison table between various bikes should be given. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not agree that a comparison table between various bikes should be given. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Comparis 139 3.50 1.024 .087 ons One-Sample Test Test Value = 4
  • 36. 95% Confidence Interval of the Difference Lower Upper Compari -5.797 138 .000 -.504 -.68 -.33 sons Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05, so we reject the null hypothesis and accept the alternative hypothesis. That’s why we can say that people do not agree with the statement that comparative advertisement of various bikes should be given. 7. Comparison of Bajaj’s various bikes should be given. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Null Hypothesis (HO): There is no significant difference between calculated mean (3.20) and hypothesized mean (3). In other words, we hypothesized that people agree that a comparison table between Bajaj’s own bikes should be given. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not neutral that a comparison table between Bajaj’s own bikes should be given. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature.
  • 37. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Compari 139 3.20 1.264 .107 son One-Sample Test Test Value = 3 95% Confidence Interval of the Difference Lower Upper Compari 1.879 138 .062 .201 -.01 .41 son Interpretation: At 95% confidence level, the significance value is 0.062 which is greater than 0.05, therefore we accept the null hypothesis and reject the alternative hypothesis. So we can say that people are neutral with the statement that comparative advertisement between Bajaj’s own bikes should be given. 8. Attractive colour of the advertisements is expected. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
  • 38. Purpose: to know whether people like to see the colourful advertisements or not. Null Hypothesis (HO): There is no significant difference between calculated mean (3.78) and hypothesized mean (4). In other words, we hypothesized that people do not agree that attractive colours are expected by them in the advertisements. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not agree that attractive colours is expected in the advertisements. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Colo 139 3.78 1.108 .094 ur One-Sample Test
  • 39. Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper Colo -2.296 138 .023 -.216 -.40 -.03 ur Interpretation: At 95% confidence level, the significance value is 0.000 and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not expect and want to see the colourful advertisement. 9. Hoardings are a good way of getting information about bikes. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Null Hypothesis (HO): There is no significant difference between calculated mean (3.35) and hypothesized mean (3). In other words, we hypothesized that people are neutral about the statement that hoardings are good way of getting information about bikes. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not at neutral level about the statement that hoardings are good way of getting information about bikes.
  • 40. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Hoardi 139 3.35 1.075 .091 ng One-Sample Test Test Value = 3 Mean 95% Confidence Sig. (2- Differen Interval of the T Df tailed) ce Difference Lower Upper Hoardi 3.788 138 .000 .345 .17 .53 ng Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05 and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people are not neutral with the statement that the hoardings are good way of getting information about bikes. So from the mean 3.35 and from the t-value 3.788, we can say that people are above neutral level with the statement that the hoardings are good way of getting information about the bikes. 10. Big advertisement plays more attention.
  • 41. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Null Hypothesis (HO): There is no significant difference between calculated mean (3.57) and hypothesized mean (4). In other words, we hypothesized that people agreed that they pay more attention towards big advertisement. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not agreed with the statement that they pay more attention towards big advertisement. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Big advertisemen 139 3.57 1.130 .096 t
  • 42. One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper Big -4.505 138 .000 -.432 -.62 -.24 ads Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05 and therefore we reject the null hypothesis and accept the alternative hypothesis. In other words, people do not agree with the statement that they pay more attention towards big advertisements. From the mean 3.57 and from the t- value -4.505, we can say that people are less than agree with the statement that they pay more attention towards big advertisement. 11. Involvement of celebrity in the advertisement creates brand-image. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know whether involvement of celebrity creates brand image of the company or not. Null Hypothesis (HO): There is no significant difference between calculated mean (3.45) and hypothesized mean (3). In other words, we hypothesized that people are neutral with the statement that they pay more attention when a celebrity is included in the advertisements and it creates brand image about the company.
  • 43. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not neutral about the statement that they pay more attention when a celebrity is included in the advertisements and it creates brand image about the company. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean celebri 139 3.45 1.168 .099 ty One-Sample Test Test Value = 4 Mean 95% Confidence Sig. (2- Differen Interval of the t Df tailed) ce Difference Lower Upper Celebr 4.501 138 .000 .446 .25 .64 ity Interpretation:
  • 44. At 95% confidence level, the significance value is 0.000 which is less than 0.05; therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not agree with the statement that they pay more attention when a celebrity is included in the advertisements and it creates brand image in their minds about the company. From the mean 3.45 and from the t-value 4.501, we can say that people above neutral level with the statement that they pay more attention towards big advertisements. 12. Showing advertisements frequently make a good brand-image. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know whether people appreciate the repetition of the advertisement. Null Hypothesis (HO): There is no significant difference between calculated mean (3.40) and hypothesized mean (3). In other words, we hypothesized that people are neutral about the statement that showing advertisements frequently make a good brand-image of the company. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not at neutral level about the statement that showing advertisements frequently make a good brand-image of the company. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature.
  • 45. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean repeat 139 3.40 1.238 .105 ads One-Sample Test Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen t df tailed) ce Lower Upper repeat 3.837 138 .000 .403 .20 .61 ads Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05; therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people are not at neutral level about the statement that showing advertisements frequently does make a good brand-image of the company. From the mean 3.40 and from the t-value 3.837, we can say that people are above neutral level with the statement that showing advertisements frequently make a good brand-image of the company. 13. An advertisement on the first page gives more attention. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
  • 46. Purpose: to know how much attention people pay to the advertisement displayed on the first page. Null Hypothesis (HO): There is no significant difference between calculated mean (3.38) and hypothesized mean (4). In other words, we hypothesized that people agree that they pay more attention when an advertisement is been displayed on the first page. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean first 139 3.38 1.200 .102 page One-Sample Test
  • 47. Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper first 3.745 138 .000 .381 .18 .58 page Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05; and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people are not neutral with the statement that they pay more attention when an advertisement is been displayed on the first page. From the mean 3.38 and from the t-value 3.745, we can say that people are above neutral level with the statement that they pay more attention when an advertisement is been displayed on the first page. 14. The language of the advertisement should be simple. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know whether people prefer simple and easy to understand language or not. Null Hypothesis (HO): There is no significant difference between calculated mean (3.66) and hypothesized mean (4). In other words, we hypothesized that people agree that the language of the advertisement should be simple and easy.
  • 48. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not agree with the statement that the language of the advertisement should be simple and easy Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Langua 139 3.66 1.126 .096 ge One-Sample Test Test Value = 4 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper Langua -3.539 138 .001 -.338 -.53 -.15 ge Interpretation:
  • 49. At 95% confidence level, the significance value is 0.001 which is less than 0.05; and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not agree with that the language of the advertisement should be simple and easy. From the mean 3.66 and from the t-value -3.539, we can say that people are above neutral level with the statement that the language of the advertisement should be simple and easy. 15. The advertisement describes the real quality of Bajaj’s bike. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know that how much people believe that the advertisement describe the real quality of Bajaj’s bike. Null Hypothesis (HO): There is no significant difference between calculated mean (3.22) and hypothesized mean (4). In other words, we hypothesized that people agree that the advertisement describes the real quality of Bajaj’s bike. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4
  • 50. One-Sample Statistics Std. Std. Error N Mean Deviation Mean Qual 139 3.22 1.167 .099 ity One-Sample Test Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper Qual 2.252 138 .026 .223 .03 .42 ity Interpretation: At 95% confidence level, the significance value is 0.000 and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not agree that the advertisement describes the real quality of Bajaj’s bike. From the mean 3.22 and from the t-value 2.252, we can say that people are above neutral level with the statement that advertisement describes the real quality of Bajaj’s bike. 16. You like to see the stunt making advertisements of bike.
  • 51. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know whether people like the present stunt making advertisement or not. Null Hypothesis (HO): There is no significant difference between calculated mean (3.43) and hypothesized mean (3). In other words, we hypothesized that people agree that they like to see the stunt making advertisement of the Bajaj’s bike. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not at neutral level with the statement that they like to see the stunt making advertisement of the Bajaj’s bike. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean stunt 139 3.43 1.269 .108 One-Sample Test
  • 52. Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper stunt 4.012 138 .000 .432 .22 .64 Interpretation: At 95% confidence level, the significance value is 0.000 which is less than 0.05; so we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not agree that they like to see the stunt making advertisement of the Bajaj’s bike. From the mean 3.43 and from the t-value 4.012, we can say that people are above neutral level with the statement that they like to see the stunt making advertisement of the Bajaj’s bike. 17. Showing advertisement in prime-time pays more attention. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know the attention level of people for the advertisement during prime-time. Null Hypothesis (HO): There is no significant difference between calculated mean (3.20) and hypothesized mean (3). In other words, we hypothesized that people are at neutral level that they pay more attention when an advertisement is been telecast in prime-time. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that
  • 53. people are not at neutral level that they pay more attention when an advertisement is been telecast in prime-time. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean prime 138 3.20 1.152 .098 time One-Sample Test Test Value = 3 95% Confidence Mean Interval of the Sig. (2- Differen Difference t df tailed) ce Lower Upper prime 1.996 137 .048 .196 .00 .39 time Interpretation: At 95% confidence level, the significance value is 0.048 which is less than 0.05; and therefore we reject the null hypothesis and accept the alternative
  • 54. hypothesis. So we can say that people are not at neutral level that they pay more attention when an advertisement is been telecast in prime-time. From the mean 3.20 and from the t-value 1.996, we can say that people are above neutral level with the statement that they pay more attention when an advertisement is been telecast in prime-time. 18. After seen advertisements, you like to buy a new bike of Bajaj. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree Purpose: to know intention that person would like to buy the bike of Bajaj after seen its advertisement. Null Hypothesis (HO): There is no significant difference between calculated mean (3.45) and hypothesized mean (3). In other words, we hypothesized that people are at neutral level that after seen the advertisement of Bajaj’s bike they would like to buy a new bike of Bajaj. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not at a neutral level that after seen the advertisement of Bajaj’s bike they would like to buy a new bike of Bajaj. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3
  • 55. One-Sample Statistics Std. Std. Error N Mean Deviation Mean buy 139 3.45 1.078 .091 One-Sample Test Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen T Df tailed) ce Lower Upper buy 4.956 138 .000 .453 .27 .63 Interpretation: At 95% confidence level, the significance value is 0.000 which is lower than 0.05; so we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not agree that after seen the advertisement of Bajaj’s bike they would like to buy a new bike of Bajaj. From the mean 3.45 and from the t-value 4.956, we can say that people are above neutral level with the statement that after seen the advertisement of Bajaj’s bike they would like to buy a new bike of Bajaj. 19. An advertisement showing various schemes like cash refunds, rebates, gifts and free vouchers attract you. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree
  • 56. Purpose: to know that how much do these promotional activities influence buying. Null Hypothesis (HO): There is no significant difference between calculated mean (3.28) and hypothesized mean (3). In other words, we hypothesized that people are neutral with the statement that advertisement showing various schemes attract them. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people are not at a neutral level that advertisement showing various schemes attract them. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics N Mean Std. Std. Deviation Error
  • 57. Mean scheme 139 3.28 1.222 .104 s One-Sample Test Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper scheme 2.707 138 .008 .281 .08 .49 s Interpretation: At 95% confidence level, the significance value is 0.008 which is less than 0.05; and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people are not neutral with the statement that advertisement showing various schemes attracts them. From the mean 3.28 and from the t-value 2.707, we can say that people are above neutral level with the statement that advertisement showing various schemes attracts them. 20. Bajaj’s advertisement provides you the necessary information. 1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully
  • 58. Purpose: to know whether present advertisement of Bajaj provide necessary info or not. Null Hypothesis (HO): There is no significant difference between calculated mean (3.04) and hypothesized mean (3). In other words, we hypothesized that people agree that Bajaj’s advertisement provides partly information to the people. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not agree that Bajaj’s advertisement provides partly information to the people. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics
  • 59. Std. Std. Error N Mean Deviation Mean info 139 3.04 1.215 .103 One-Sample Test Test Value = 3 Mean 95% Confidence Sig. (2- Differen Interval of the T Df tailed) ce Difference Lower Upper info .419 138 .676 .043 -.16 .25 Interpretation: At 95% confidence level, the significance value is 0.676 and therefore we accept the null hypothesis and reject the alternative hypothesis. From the mean 3.04 and from the t-value .419, we can say that Bajaj’s advertisement provides partly information to the people. 21. You admire present advertisement of Bajaj. 1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully Purpose: to know that people admire present advertisement of Bajaj or not.
  • 60. Null Hypothesis (HO): There is no significant difference between calculated mean (3.54) and hypothesized mean (4). In other words, we hypothesized that people greatly admire the present advertisement of Bajaj. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people do not greatly admire the present advertisement of Bajaj. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 4 One-Sample Statistics Std. Std. Error N Mean Deviation Mean Admi 139 3.54 1.072 .091 re One-Sample Test
  • 61. Test Value = 4 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper admir -5.065 138 .000 -.460 -.64 -.28 e Interpretation: At 95% confidence level, the significance value is 0.000 and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not greatly admire the present advertisement of Bajaj. From the mean 3.54 and from the t-value -5.065, we can say that people admire the present advertisement of Bajaj less than greatly. 22. The advertisement of Bajaj meets with what it says. 1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully Purpose: to know whether people believe that the bike meets with the advertisement with what it is saying. Null Hypothesis (HO): There is no significant difference between calculated mean (3.30) and hypothesized mean (3). In other words, we hypothesized that people partly believe that the advertisement of Bajaj meets with what it says. Alternative Hypothesis (H1): There is significant difference between calculated mean and hypothesized mean. In other words, we hypothesized that people partly believe that the advertisement of Bajaj meets with what it says.
  • 62. Statistical Test: One sample t-test is chosen because the measurement of data is interval in nature. Significance level: 0.05 Test value: 3 One-Sample Statistics Std. Std. Error N Mean Deviation Mean meet 139 3.30 1.184 .100 One-Sample Test Test Value = 3 95% Confidence Interval of the Mean Difference Sig. (2- Differen t Df tailed) ce Lower Upper meet 3.010 138 .003 .302 .10 .50 Interpretation: At 95% confidence level, the significance value is 0.003 which is less than 0.05; and therefore we reject the null hypothesis and accept the alternative hypothesis. So we can say that people do not partly believe that the
  • 63. advertisement of Bajaj meets with what it says. From the mean 3.30 and from the t-value -5.065, we can say that people admire the present advertisement of Bajaj more than partly. 23. At which place you pay more attention to hoardings? [ ] Bus-stop [ ] Railway station [ ] Public garden [ ] Highways [ ] Traffic Signal Purpose: - to know where people pay more attention to the hoardings. Where to see the hoarding Frequen Valid Cumulativ cy Percent Percent e Percent bus-stop 22 15.8 15.8 15.8 railway station 40 28.8 28.8 44.6 public garden 33 23.7 23.7 68.3 Highway 16 11.5 11.5 79.9 traffic signal 28 20.1 20.1 100.0 Total 139 100.0 100.0 Interpretation:- From the above figures of the table, we can say that from 139 respondents, 28.8% people would like to see the hoardings at the Railway Station, 23.7% would like to see the hoardings at the Public Garden, 20.1% would like to see hoardings at the traffic signal, 15.8% people would like to see the hoardings at the Bus-stop while only 11.5% people would like to see the hoardings at the highways.
  • 64. 24.In which media would you like to find the advertisement of “Mahalaxmi Auto” in Navsari? [ ] Newspaper [ ] Radio [ ] Ad pamphlets [ ] T.V. Purpose: - to know which media do the people prefer most to see the advertisement. Media preference by people Frequen Valid Cumulativ cy Percent Percent e Percent Valid Newspaper 51 36.7 36.7 36.7 Radio 23 16.5 16.5 53.2 Ad pamphlets 26 18.7 18.7 71.9 T.V. 39 28.1 28.1 100.0 Total 139 100.0 100.0 Interpretation:- From the above table we can say that amongst the 139 respondents, 36.7% respondents would like to see the advertisement of Bajaj in Newspaper while 28.1% respondent prefer Television for watching the advertisement of Mahalaxmi Motors, 18.7% respondents would prefer the ad pamphlets for advertisement while only 16.5% people would like to prefer Radio for the advertisements. So we can say that showing the advertisement in the newspaper might be a good way of communicating with the people. Cross tabulation between gender and media preferred by them.
  • 65. Gender and media Cross tabulation Media newspap ad Total er radio pamphlets tv gender male Count 40 15 13 26 94 % within 42.6% 16.0% 13.8% 27.7% 100.0% gender female Count 11 8 13 13 45 % within 24.4% 17.8% 28.9% 28.9% 100.0% gender Total Count 51 23 26 39 139 % within 36.7% 16.5% 18.7% 28.1% 100.0% gender Interpretation:- From the table we can say that the 42.6% of male prefer newspapers for advertisements while only 24.4% females prefer the newspapers for advertisements. Only 27.7% male preferred television for advertisement while 28.9% of female prefer television. So, we can say that newspaper is a good way of communicating with the male customer. Gender and preference of colourful advertisements Cross tabulation Colour Total strong ly disagr disagr neutra strongly ee ee l agree agree Gend Male Count 6 7 15 39 27 94 er
  • 66. % within 16.0 41.5 28.7% 100.0 gender 6.4% 7.4% % % % Femal Count 1 6 7 19 12 45 e % within 13.3 15.6 42.2 100.0 2.2% 26.7% gender % % % % Total Count 7 13 22 58 39 139 % within 15.8 41.7 100.0 5.0% 9.4% 28.1% gender % % % Interpretation:- From the above table we can see that the 41.5% males and 42.2% females agrees that they like colourful advertisements while 28.7% male and 26.7% females like the colourful advertisement. So, we can say that both male and female are either agree or strongly agree that they like the colourful advertisemtnts.
  • 68. Findings: From the total respondents, 98% respondents are aware about Bajaj’s advertisement. So, we can say that the advertisement of Bajaj reaches to the most of the people via different media. From the survey it has been found out that the 45% of the respondents preferred Television for watching the advertisements but for the advertisement of Mahalaxmi Motors 36.7%people prefer Newspaper. It has been found out that amongst the 122 bike owners 31 person has got Bajaj bikes and it stood at the second position in Navsari in terms of numbers of two wheelers. It has been also found out that Railway-station is the most preferable location where people pay more attention towards the hoarding. I have found out that the promotional schemes play important role. From the cross tabulation, it has been found out that behaviour of male and female differs significantly. Males prefer Newspapers while the females prefer Television and ad pamphlets. From the cross tabulation I have also found out that people usually pay more attention toward the colourful advertisements rather than simple advertisements.
  • 69. From the one sample t-test it is also found out that price is the greatly important factor which people wants to see in the advertisements. Samely, people give great importance to style, power, various features and services.
  • 71. Recommendation: This recommendation is made on the base of analyzing the questions asked to the consumers and their responses. This recommendation is based on my findings and limited knowledge. From the survey it can be said that most of people are aware of the advertisement of Bajaj and Mahalaxmi Motors should use Newspaper and Television as the media of advertisement. The colorful advertisement taken more consideration by all, so the company should use colourful advertisement in newspaper as well as in ad- pamphlets too. People pay more attention towards those advertisements which satisfy those criteria which are greatly important to them like price of the bike, style, power, features and services. Promotional schemes are also a good way to make the advertisement more effective one. As the people pay more attention to the hoardings at the railway station, the company can use the same for the advertising. Company enjoys the second position in Navsari so it can strengthen its position by using above mentioned recommendations.
  • 72. Conclusion: From the survey I conclude that advertisements are been shown widely and awareness of the same is too high. Form the survey I can conclude that consumer pay more attention to the broadcast media as per my analysis. Television and Print media are having most of the reach and can be used for advertisement if the company wants good results. I also conclude that the advertisement accompanied with all the necessary information and criteria in which consumers are interested can make a good image of the company and make the advertisement more effective one. There is no doubt that company will succeed if it provide all the necessary information which a consumer requires.
  • 74. I, Mr. Arjunbhai B. Patil student of M.B.A. of Sahyadri institute of management studies, pune, prepared this questionnaire in order to prepare a project work meant for educational purpose only. No personal information will be disclosed in any form at anywhere. 3. Have you seen the advertisement of Bajaj’s motorcycles? [ ] Yes [ ] No 4. Which media do you most prefer for watching the advertisement? [ ] T.V. [ ] Radio [ ] Newspaper [ ] Internet [ ] Magazine [ ] Hoardings 5. Indicate the time you spent in the following media per day. T.V. Most 1 2 3 4 5 Least Radio Most 1 2 3 4 5 Least Newspaper Most 1 2 3 4 5 Least Internet Most 1 2 3 4 5 Least
  • 75. 6. What is the importance of following criteria to be described in the advertisement of a bike? Not Marginally Partly Greatly Most Important Important Important Important Important Mileage Price Style / Looks Power / Pick- up Features Financial Schemes Service Company Image Please put tick mark for the following questions. 1= Strongly Disagree, 2= Disagree, 3= Neutral, 4= Agree, 5= Strongly Agree 7. The advertisements of Bajaj help you in purchasing a bike. 1 2 3 4 5 8. Comparison with other company’s bikes should be given 1 2 3 4 5 9. Comparison of Bajaj’s various bikes should be given. 1 2 3 4 5
  • 76. 10. Attractive colour of the advertisements is expected. 1 2 3 4 5 11. Hoardings are a good way of getting information about bikes. 1 2 3 4 5 12. Big advertisement plays more attention. 1 2 3 4 5 13.Involvement of celebrity in the advertisement creates brand-image. 1 2 3 4 5 14.Showing advertisements frequently make a good brand-image. 1 2 3 4 5 15.An advertisement on the first page gives more attention. 1 2 3 4 5 16.The language of the advertisement should be simple. 1 2 3 4 5 17.The advertisement describes the real quality of Bajaj’s bike. 1 2 3 4 5 18.You like to see the stunt making advertisements of bike. 1 2 3 4 5 19.Showing advertisement in prime-time pays more attention. 1 2 3 4 5 20.After seen advertisements, you like to buy a new bike of Bajaj. 1 2 3 4 5 21.An advertisement showing various schemes like cash refunds,
  • 77. rebates, gifts and free vouchers attract you. 1 2 3 4 5 Please put tick-mark for following questions: 1= Not at all, 2= Marginally, 3= Partly, 4= Greatly, 5= Fully 22.Bajaj’s advertisement provides you the necessary information. 1 2 3 4 5 23.You admire present advertisement of Bajaj. 1 2 3 4 5 24. The advertisement of Bajaj meets with what it says. 1 2 3 4 5 25.At which place you pay more attention to hoardings? [ ] Bus-stop [ ] Railway station [ ] Public garden [ ] Highways [ ] Traffic Signal 26.In which media would you like to find the advertisement of “Mahalaxmi Auto” in Navsari? [ ] Newspaper Please specify_______________________ [ ] Radio [ ] Ad pamphlets [ ] T.V.
  • 78. Personal Detail Name: ___________________________________________________ Age: [ ] 18-24 Year [ ] 25-31 Year [ ] 32-38 Year [ ] 39-45 Year [ ] 45 Year & Above Gender: [ ] Male [ ] Female Occupation: [ ] Student [ ] Service [ ] Professional [ ] Businessman [ ] Housewife [ ] Other please specify _______________ Present Vehicle Owned: [ ] Bajaj Brand _________________ [ ] Hero-Honda Brand _________________ [ ] Honda Brand _________________ [ ] TVS Brand _________________ [ ] Other Brand _________________ Family Annual Income: [ ] Less Than 1, 00,000 Rs. [ ] 1, 00,000 - 2, 00, 00 Rs. [ ] 2, 00,001 - 3, 00,000 Rs.
  • 79. [ ] 3, 00,001 - 4, 00,000 Rs. [ ] Above 4, 00,000 BIBILOGRAPHY  www.google.com  www.bajajauto.com  www.autopassion.com phillph kotler 12th addition spaa15 software