br final document
TRANSCRIPT
-
8/6/2019 BR Final Document
1/39
CHAPTER NO 1:
INTRODUCTION & BACKGROUND
1
-
8/6/2019 BR Final Document
2/39
1.1 Introduction & Background:
Consumers in urban areas drink carbonated drinks on a regular basis as they
increasingly adopt Western lifestyles, especially the younger generation which is
hugely influenced by the Western media. Younger consumers tend to follow Westerneating and drinking habits. There was an increase in demand for carbonated drinks
over the review period. However, some carbonated drinks are expensive compared to
other drinks and are unaffordable for many consumers in rural areas.
Soft drinks are very common in the world of today. People take soft drinks according
to different events. Especially in summer, people always prefer to take soft drinks to
chill out. Soft drinks give energy and pleasure. There are many factors which effects
decision making process of choosing to take which drink. Why people prefer one
drink over other? What are the factors which they consider while choosing soft drink?
Now a day, there are many types of beverages available. Different tastes are available
like Cola, Lemonade, Orange, Apple and twister etc.
We have conducted this survey with the motive to check the brand preference of
carbonated soft drinks offered by Pepsi, Coca Cola, Murree Brewery and Gourmet
Bakers in Lahore. We will study what are the factors that effects people to select a
brand over other? How much consumers are loyal to their brand?
Increasing health and hygiene awareness among Pakistanis has greatly increased sales
of fruit/vegetable juice products. Both the government and the media have started
health awareness campaigns to make Pakistanis realize that consumption of
fruit/vegetable juice is as essential as eating food. Fruit/vegetable juices are doing
very well in both urban and rural areas.
We have done basic research as it has been done to enhance the understanding of
certain problems that commonly occur in organizational settings and seek methods to
solve them. The results of this research can be presented to any organization and can
be used by any organization to solve their problems. We tried to find out people
preferences towards the carbonated soft drinks according to situation, flavor, favorite
companies brand, gender, how advertisement and promotion influence their choices
and perceptions, and what their monthly average expenditures on soft drinks are? We
2
-
8/6/2019 BR Final Document
3/39
also studied different factors like family preferences; friends advocacy, thirst
elimination, fun, satisfaction and dependency affect their brand preferences.
3
-
8/6/2019 BR Final Document
4/39
CHAPTER NO 2:
PROPOSAL
4
-
8/6/2019 BR Final Document
5/39
2.1 Problem Statement:
To study brand preferences of carbonated soft drinks by people based on different
events and occasions.
2.2 Research Objectives: To study favorite soft drink brands based on different demographic factors
like age, gender etc.
To study their drink choices based on different events and occasions.
To study awareness of injurious ingredients which are included in drinks?
To study the impact of advertising on their perception in preferring a drink.
To find out ratings of different drinks
To check the average monthly expenditure on soft drink of whole sample
To study the impact of different factors in preferring a brand
To study the effect of purchasing power (pocket money) on soft drink usage
2.3 Variables:
1. Frequency of usage
2. Advertising effect
3. Seasonal effect
4. Family preference
5. Events effect
6. Packaging effect
7. Flavors effect
8. Price effect
9. Taste effect
10. Fun/ enjoyment
11. Advocacy effect
2.4 Data Needs/Sources:
Data will be collected using primary sources like questionnaires and personnel
observation etc and secondary sources will be collected using literature review etc.
5
-
8/6/2019 BR Final Document
6/39
2.5 Sampling Design:
We will categorize our respondents on the basis of gender and profession.
Categorization on the basis of gender is given below.
Gender Categorization
Male
68%
Female
32%
Male
Female
Figure 1 Gender Categorization
Out of 250 of total respondents, 170 will be male and rest of 80 will be female.
Categorization on the basis of profession is given in below.
Professional Categorization
Student
84%
Professionals
16%
Student Professionals
Figure 2 Professional Categorization
6
-
8/6/2019 BR Final Document
7/39
2.6 Population:
We will choose teenagers between the age of 13 to 19 and youngsters from the age of
20 to 26, both male and female living in the major metropolitan areas of Lahore like
Johar Town, Model Town, Gulberg, Iqbal Town, Shahdra, Cantt, Ichra and ShadBagh etc. Also, we will visit some universities as well like Punjab University etc. We
will focus that our desired respondents should have an educated background so that
they will be able to understand our questionnaire and answer them accordingly.
2.7 Sampling Method:
We will use clustering sampling method technique.
2.8 Sampling Size:
Sample size will be 250 individuals, which will include mostly students and some
professionals.
2.9 Sampling Unit:
Our sampling unit for the said research will be markets located in major areas of
Lahore like Johar Town, Model Town, Gulberg, Iqbal Town, Shahdra, Cantt, Mustafa
Town, Shad Bagh and Ichra etc. Also, we will visit some universities as well.
2.10 Sampling Elements:
We will focus on students as our major sampling elements and some professionals as
well.
2.11 Detail Of The Method:
We will use descriptive research design approach; we will clearly describe the
objective and aim of our research, which is the major objective of descriptive research
design. We will use single cross sectional design for our research as we will go to our
respondent only once. We will clearly describe our topic of research, characteristics
of different drinks on whom we are going to perform survey and we will also make
some specific prediction about our research.
We will use two major methods of conducting descriptive research.
Survey methods
Observation methods
7
-
8/6/2019 BR Final Document
8/39
Survey Methods
We will develop a structured questionnaire that will be offered to respondents to get
the specific information and feedback about brand preferences of carbonated soft
drinks. Further, we will use the Mall Intercept Surveys, by visiting the markets and
universities. We will focus on the questions and variables that have direct impact on
the people perceptions.
Observation Methods
Before developing the final structured questionnaire, we will execute an unstructured
observation to record the behavioral patterns of teenagers and youngsters in events
without specifying the details in advance about soft drink brands.
8
-
8/6/2019 BR Final Document
9/39
CHAPTER NO 3:
FINDINGS
9
-
8/6/2019 BR Final Document
10/39
3.1 Data Analysis:
3.1.1 Favorite Soft Drink Brands Based On Gender:
Soft Drinks Usage * Respondent Gender Cross tabulation
% of Total
Respondent Gender
TotalMale Female
Soft Drinks Usage Daily 38.2% 18.3% 56.5%
Twice a week 14.6% 2.8% 17.5%
Weekly 5.7% 5.3% 11.0%
Monthly 1.6% 1.2% 2.8%
Occasionally 4.9% 2.8% 7.7%
Rarely 3.3% 1.2% 4.5%
Total 68.3% 31.7% 100.0%
This table shows the frequency of consumption of carbonated beverages by both male
and female as daily, weekly, monthly, occasionally and rarely bases. Here we found
that about 56.5% of people in our total sample size are taking soft drinks on daily
bases. Out of this weight age, 38.2% are males and rest 18.3% are females. Similarly,
17.5% people say that they take soft drinks twice a week, out of which 14.6% aremales and 2.8% are females. People who claim that they take soft drinks on weekly
basis are 11.0% of total sample size out of them 5.7% is males and rest 5.3% are
females. People who tend to consume soft drinks on monthly, occasionally and rarely
contain the weight age of 2.8%, 7.7% and 4.5% respectively. Where division between
male and female is 1.6% and 1.2% monthly, 4.9% and 2.8% occasionally and 3.3%
and 1.2% rarely.
10
-
8/6/2019 BR Final Document
11/39
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 8.859a 5 .115
Likelihood Ratio 9.220 5 .101
Linear-by-Linear Association .311 1 .577
N of Valid Cases 246
a. 3 cells (25.0%) have expected count less than 5. The minimum expected
count is 2.22.
Ho: There is no significant difference in the opinions of different genders about soft
drink usage.
H1: There is significant difference in the opinions of different genders about soft
drink usage.
On the basis of this available result, we will accept Ho and reject Hi as P-value 0.115
is greater than confidence interval 0.025. So we can interpret that there is not any
significant confliction in the consumption of carbonated soft drinks on the basis of
different genders.
Model Summary
Model R R SquareAdjusted R
SquareStd. Error of the
Estimate
1 .036a .001 -.003 1.488
a. Predictors: (Constant), Respondent Gender
This table represents the power of this regression model we created to test our
hypothesis. We can interpret that this is weak regression model that does not give any
accurate and reliable results since power of this model is 0.001.
11
-
8/6/2019 BR Final Document
12/39
3.1.2 Favorite Soft Drink Brands Based On Age:
Soft Drinks Usage * Respondent Age Cross tabulation
% of Total
Respondent Age
Total13-16 17-20 21-23 24-26
Soft Drinks Usage Daily 2.4% 13.5% 27.8% 13.1% 56.7%
Twice a week 2.0% 2.4% 9.8% 3.3% 17.6%
Weekly .4% 2.4% 6.9% 1.2% 11.0%
Monthly .4% .8% 1.2% 2.4%
Occasionally .4% 1.2% 5.3% .8% 7.8%
Rarely .8% .4% 1.6% 1.6% 4.5%
Total 6.1% 20.4% 52.2% 21.2% 100.0%
This table vaunts the frequency of consumption of both males and females as far as
the element of age is concerned. The overall consumption criteria is same that we
explored in last table as far as daily, weekly, monthly, occasionally and rarely
incidents are concerned. Here we noticed that the 2.4% of people between the age
ranges of 13-16 tend to consume soft drinks in daily basis, 2% twice a week, 0.4%
weekly, 0.4% occasionally and only 0.8% take them rarely.
Second age range is between 17-20, here we explored that 13.5% take drinks daily,
2.4% twice a week and weekly, 0.4% monthly, 1.2% occasionally and only 0.4%
consume drinks rarely.
Third age range is between 21-23, here 27.8% take drinks daily, 9.8% twice a week,
6.9% weekly, 0.8% monthly, 5.3% occasionally and only 1.6% consume drinks
rarely.
Fourth and final age category is in between the age of 24-26, here we found that
13.1% tend to take drinks daily, 3.3% twice a week, 1.2% weekly and monthly, 0.8%
occasionally and 1.6% like to consume drinks rarely.
12
-
8/6/2019 BR Final Document
13/39
Ho: There is no significant difference in the opinions of different people of differentage groups about soft drink usage.
H1: There is significant difference in the opinions of different people of different age
groups about soft drink usage.
On the basis of this available result, we will accept Ho and reject Hi as P-value 0.272
is greater than confidence interval 0.025. So we can interpret that there not significant
confliction in the consumption patrons of carbonated soft drinks among the
respondents who belong to different age groups.
3.1.3 Favorite Soft Drink Brands Based On Education:
13
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 17.829a 15 .272
Likelihood Ratio 16.894 15 .325
Linear-by-Linear Association .002 1 .962
N of Valid Cases 245
a. 12 cells (50.0%) have expected count less than 5. The minimum
expected count is .37.
-
8/6/2019 BR Final Document
14/39
Soft Drinks Usage * Respondent Education Cross tabulation
% of Total
Respondent Education
TotalUnder Matric Matriculation Intermediate Graduation Masters
Soft
Drinks
Usage
Daily 1.6% 1.2% 7.7% 25.1% 21.1% 56.7%
Twice a
week.8% 1.2% 2.4% 6.9% 6.1% 17.4%
Weekly 2.8% 4.0% 4.0% 10.9%
Monthly .4% .4% 2.0% 2.8%
Occasionally .4% 1.2% 4.0% 2.0% 7.7%
Rarely .4% .4% 2.0% 1.6% 4.5%
Total 2.8% 3.2% 14.6% 42.5% 36.8% 100.0%
This table displays the usage patron of people, both male and female under the
category of their current educational status. The aggregate percentage of consumption
based on incidents is still same as shown in last two tables.
Here we can observe that our respondents who are under matriculation, 1.6% of them
consume soft drinks daily, 0.8% twice a week, no one is agree that he takes soft
drinks weekly, monthly and occasionally and only 0.4% of respondents say that they
use drinks rarely.
In the same way, respondents who are in matriculation, 1.2% of them consume drinksdaily and weekly, no one is agree that he takes soft drinks weekly and monthly, 0.4%
occasionally and rarely as well.
Third education category is intermediate, where 7.7% say that they take drinks daily,
2.4% twice a week, 2.8% weekly, 0.4% monthly, 1.2% occasionally and 2% rarely.
Fourth category is graduation, where 25.1% say that they take drinks daily, 6.9%
twice a week, 4.0% weekly, 0.4% monthly, 4% occasionally and 2% claims that they
take drinks rarely.
Last category is masters, where 21.1% say that they take drinks daily, 6.1% twice a
week, 4.0% weekly, 2.0% monthly and occasionally as well only and 1.6% claims
that they take drinks rarely.
14
-
8/6/2019 BR Final Document
15/39
In the end, we can assert that respondents belong to graduation and masters are tend
to consume carbonated soft drinks very much higher than others categories of
education we choose to conduct this survey.
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 17.589a 20 .614
Likelihood Ratio 19.883 20 .465
Linear-by-Linear Association .136 1 .712
N of Valid Cases 247
a. 20 cells (66.7%) have expected count less than 5. The minimum
expected count is .20.
Ho: There is no significant difference in the opinions of different people of different
educational background about soft drink usage.
H1: There is significant difference in the opinions of different people of different
educational background about soft drink usage.
On the basis of this available result, we will accept Ho and reject Hi as P-value 0.614
is greater than confidence interval 0.025. So we can interpret that there is not
significant confliction in the consumption patrons of carbonated soft drinks amongthe respondents who belong to different educational backgrounds.
15
-
8/6/2019 BR Final Document
16/39
3.1.4 Awareness Of Injurious Ingredients Which Are Included In
Drinks:
Soft Drink Contains Injurious ingredients
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 110 44.0 44.4 44.4
No 138 55.2 55.6 100.0
Total 248 99.2 100.0
Missing System 2 .8
Total 250 100.0
This table shows the results of our investigative question either carbonated soft drinks
contain the ingredients that are injurious for health or not? We also requested the
respondents to mention the name of that ingredient in case of positive response.
From this table we can interpret that out of 250 respondents, 110 agrees that these
most of carbonated drinks contain ingredients that are injurious for human body and
health as well. Injuries ingredients they mentioned are Caffeine, carbonated gas, acids
and sugar. They also contain 44.4% of total sample size.
Out of rest 140 respondents, 138 claim that soft drinks do not contain any injuries
ingredients for health and they are not inhibited at all while drinking them. They
contain about 55.2% of total sample size. Here it is essential to tell that 2 respondents
did not inform us about their point view regarding this problem.
The respondents positive or negative comments about the opinion that most of
carbonated drinks are filled with ingredients that are injuries for health can be
displayed with the help of this diagram too.
16
-
8/6/2019 BR Final Document
17/39
-
8/6/2019 BR Final Document
18/39
which is given below, we can conclude that most of the people prefer cola in parties,
on other hand; twister is the flavor which is least used in parties.
3.1.6 Impact Of Advertising On Their Perception In Preferring A
Drink:
Advertisement Influence To Test Drink * Respondent Age Cross tabulation
% of Total
Respondent Age
Total13-16 17-20 21-23 24-26
Advertisement Influence To
Test Drink
Always 2.0% 8.2% 3.7% 13.9%
Sometimes 3.7% 9.0% 26.5% 6.9% 46.1%
Often .8% 4.9% 9.8% 4.1% 19.6%
Rare .4% 2.9% 5.3% 1.2% 9.8%
Never 1.2% 1.6% 2.9% 4.9% 10.6%
Total 6.1% 20.4% 52.7% 20.8% 100.0%
We took 250 respondents from these respondents 6.1%are from age of 13-16 and
20.4% are from age of 17-21, 52.7% are from age of 21-23 and respondents are from
age of 24-26 are 20.8%.
Now we are studying the effect of advertisement to taste a new drink with respect to
the age of respondent. Results shows that out of 250 respondents 13.9 % agree that
advertisement always influence to taste a brand. From these 13.9% respondents, 8.2%
18
-
8/6/2019 BR Final Document
19/39
respondents are from age of 21-23 and 3.7% respondents are from age of 24-26 and
2.0% respondents are from age of 17-20 while age range of 13-16 agree that
advertisement not influence to taste a brand.
Results shows that out of 250 respondents 46.1 % agree that advertisement sometimes
influence to taste a brand. From these 46.1% respondents, 26.5% respondents are
from age of 21-23 and 9.0% respondents are from age of 17-20 and 6.9%
respondents are from age of 24-26 .and response of age range from 13-16 is 3.7 %
about sometimes influence of advertisement to taste a new brand.
Results shows that out of 250 respondents 19.6 % agree that advertisement often
influence to taste a brand. From these 19.6% respondents, 9.8% respondents are from
age of 21-23 and 4.9% respondents are from age of 17-20 and 4.1% respondents are
from age of 24-26 .and response of age range from 13-16 is 0.8 % about often
influence of advertisement to taste a new brand.
Results show that out of 250 respondents 9.8 % agree that advertisement rare
influence to taste a brand. From these 9.8% respondents, 5.3% respondents are from
age of 21-23 and 2.9% respondents are from age of 17-20 and 1.2% respondents are
from age of 24-26 .and response of age range from 13-16 is 0.4 % about Rare
influence of advertisement to taste a new brand.
Results shows that out of 250 respondents 10.6 % agree that advertisement never
influence to taste a brand. From these 10.6% respondents, 2.9% respondents are from
age of 21-23 and 1.6 % respondents are from age of 17-20 and 4.9% respondents are
from age of 24-26 .and response of age range from 13-16 is 1.2% about never
influence of advertisement to taste a new brand.
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 21.959a 12 .038
Likelihood Ratio 22.633 12 .031
Linear-by-Linear Association .002 1 .969
N of Valid Cases 245
a. 6 cells (30.0%) have expected count less than 5. The minimum
expected count is 1.47.
19
-
8/6/2019 BR Final Document
20/39
Ho = There is no significant difference in the opinion of advertisement influence to
test drink by different age groups.
Hi = There is significant difference in the opinion of advertisement influence to test
drink by different age groups.
As p value is 0.038 in chi-square test which is less than alpha i-e 0.05. Since, 0.038 0.05 so accept Ho and results are insignificant. So, based on our sample with
95% confidence level, we can say that there is no significant difference in the opinion
of advertisement influence to test drink by different genders.
3.1.8 Advertisement Role In Selecting A Drink:
Advertisement Role in Selecting Drink
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 193 77.2 77.2 77.2
No 57 22.8 22.8 100.0
Total 250 100.0 100.0
In this section we are studying the influence of advertisement to select a brand. From
the sample of 250 Respondents 193 respondents that are the 77.2% of total agree on
21
-
8/6/2019 BR Final Document
22/39
that the advertisement influence to select a brand while 57 respondents those are the
22.8% of total said that advertisement not influence to select a brand.
We take 1 for Yes and 2 for No and the results shows the mean of data is 1.23which is most near to the 1 its means the most of the respondents agree on that the
advertisement influence to select a brand.
22
-
8/6/2019 BR Final Document
23/39
3.1.9 Average Monthly Expenditure On Soft Drink Of Whole
Sample:
Personal Monthly Average Expenditure
Frequency Percent Valid Percent
Cumulative
Percent
Valid Up to 200 57 22.8 23.4 23.4
200 to 500 74 29.6 30.3 53.7
500 to 750 59 23.6 24.2 77.9
750 to 1000 36 14.4 14.8 92.6
More than 1000 18 7.2 7.4 100.0
Total 244 97.6 100.0
Missing System 6 2.4
Total 250 100.0
From our 250 respondents the 57 respondents 22.8% of total are spending up to
Rs.200 And 74 respondents they are the 29.6% of total are spending between Rs200-
Rs.500 And 59 respondents they are the 23.6% of total are spending between Rs.500-
Rs.750 and 36 respondents they are the 14.4% of total are spending between Rs.750-Rs.1000 and 18 respondents they are the 7.2 % of total are spending More
Rs.1000.Six respondent never gave the answer of this question they are only the 2.4
% of total.
23
-
8/6/2019 BR Final Document
24/39
We took
1 for up to 200
2 for 200-500
3 for 500-750
4 for 750-1000
5 for more then 1000
And the results shows that the mean of the data is 2.52 almost between the 2 and 3
which means the average monthly expenditure of the people on soft drink beverages
is almost between the 500 to 750.
3.1.10 Impact Of Different Factors In Preferring A Brand:Advertisement Effect On Brand Preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 18 7.2 7.4 7.4
1 15 6.0 6.2 13.6
2 36 14.4 14.8 28.4
3 29 11.6 11.9 40.3
4 54 21.6 22.2 62.6
High 91 36.4 37.4 100.0
Total 243 97.2 100.0
Missing System 7 2.8
Total 250 100.0
24
-
8/6/2019 BR Final Document
25/39
We asked the people to rate the advertisement effect on brand preference from a scale
of 0 to 5 according to their own perception, where 0 represents lowest and 5 for
highest likeness.
Here we found that out of total sample size of 250 respondents, 7.4% rated 0, 6.2%
rated 1, 14.8% rated 2, 11.9% rated 3, 22.2% rated 4 and 37.4% rated 5 highest
likeness. We also interpreted that majority of respondents rated 5 that shows the
advertisement effect on brand preference is liked up to highest level.
25
-
8/6/2019 BR Final Document
26/39
Family Effect On Brand Preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 25 10.0 10.3 10.3
1 26 10.4 10.7 21.0
2 29 11.6 11.9 32.9
3 55 22.0 22.6 55.6
4 69 27.6 28.4 84.0
High 39 15.6 16.0 100.0
Total 243 97.2 100.0
Missing System 7 2.8
Total 250 100.0
We asked the people to rate the Family effect on brand preference from a scale of 0 to
5 according to their own perception, where 0 represents lowest and 5 for highest
likeness.
Here we found that out of total sample size of 250 respondents, 10.3% rated 0, 10.7%
rated 1, 11.9% rated 2, 22.6% rated 3, 28.4% rated 4 and 16% rated 5 highest
26
-
8/6/2019 BR Final Document
27/39
likeness. We also interpreted that majority of respondents rated 4 that shows the
family effect on brand preference is liked up to high level.
Friend Effect On Brand Preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 8 3.2 3.3 3.3
1 15 6.0 6.2 9.5
2 23 9.2 9.5 19.0
3 67 26.8 27.7 46.7
4 85 34.0 35.1 81.8
High 44 17.6 18.2 100.0
Total 242 96.8 100.0
Missing System 8 3.2
Total 250 100.0
27
-
8/6/2019 BR Final Document
28/39
We asked the people to rate the friend effect on brand preference from a scale of 0 to
5 according to their own perception, where 0 represents lowest and 5 for highest
likeness.
Here we found that out of total sample size of 250 respondents, 3.3% rated 0, 6.2%
rated 1, 9.5% rated 2, 27.7% rated 3, 35.1% rated 4 and 18.2% rated 5 highest
likeness. We also interpreted that majority of respondents rated 4 that shows the
friend effect on brand preference is liked up to high level.
Thirst Elimination Effect On Brand Preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 13 5.2 5.5 5.5
1 23 9.2 9.7 15.1
2 42 16.8 17.6 32.8
3 60 24.0 25.2 58.0
4 59 23.6 24.8 82.8
High 41 16.4 17.2 100.0
Total 238 95.2 100.0
Missing System 12 4.8
Total 250 100.0
28
-
8/6/2019 BR Final Document
29/39
We asked the people to rate the thirst elimination effect on brand preference from a
scale of 0 to 5 according to their own perception, where 0 represents lowest and 5 for
highest likeness.
Here we found that out of total sample size of 250 respondents, 5.5% rated 0, 9.7%
rated 1, 17.6% rated 2, 25.2% rated 3, 24.8% rated 4 and 17.2% rated 5 highest
likeness. We also interpreted that majority of respondents rated 3 that shows the thirst
elimination effect on brand preference is liked up to moderate level.
29
-
8/6/2019 BR Final Document
30/39
Fun Effect on brand preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 20 8.0 8.3 8.3
1 15 6.0 6.2 14.5
2 43 17.2 17.8 32.2
3 53 21.2 21.9 54.1
4 57 22.8 23.6 77.7
High 54 21.6 22.3 100.0
Total 242 96.8 100.0
Missing System 8 3.2
Total 250 100.0
30
-
8/6/2019 BR Final Document
31/39
We asked the people to rate the fun effect on brand preference from a scale of 0 to 5
according to their own perception, where 0 represents lowest and 5 for highest
likeness.
Here we found that out of total sample size of 250 respondents, 8.3% rated 0, 6.2%
rated 1, 17.8% rated 2, 21.9% rated 3, 23.6% rated 4 and 22.3% rated 5 highest
likeness. We also interpreted that majority of respondents rated 4 that shows the fun
effect on brand preference is liked up to high level.
Satisfaction Effect on brand preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 14 5.6 5.8 5.8
1 28 11.2 11.6 17.4
2 29 11.6 12.0 29.5
3 37 14.8 15.4 44.8
4 57 22.8 23.7 68.5
High 76 30.4 31.5 100.0
Total 241 96.4 100.0
Missing System 9 3.6
Total 250 100.0
31
-
8/6/2019 BR Final Document
32/39
We asked the people to rate the satisfaction effect on brand preference from a scale of
0 to 5 according to their own perception, where 0 represents lowest and 5 for highest
likeness.
Here we found that out of total sample size of 250 respondents, 5.8% rated 0, 11.6%
rated 1, 12% rated 2, 15.4% rated 3, 23.7% rated 4 and 31.5% rated 5 highest
likeness. We also interpreted that majority of respondents rated 5 that shows the
satisfaction effect on brand preference is liked up to highest level.
32
-
8/6/2019 BR Final Document
33/39
Dependency Effect on brand preference
Frequency Percent Valid Percent
Cumulative
Percent
Valid Low 42 16.8 17.6 17.6
1 32 12.8 13.4 31.0
2 36 14.4 15.1 46.0
3 63 25.2 26.4 72.4
4 40 16.0 16.7 89.1
HIgh 26 10.4 10.9 100.0
Total 239 95.6 100.0
Missing System 11 4.4
Total 250 100.0
33
-
8/6/2019 BR Final Document
34/39
We asked the people to rate the dependency effect on brand preference from a scale
of 0 to 5 according to their own perception, where 0 represents lowest and 5 for
highest likeness.
Here we found that out of total sample size of 250 respondents, 17.6% rated 0, 13.4%
rated 1, 15.1% rated 2, 26.4% rated 3, 16.7% rated 4 and 10.9% rated 5 highest
likeness. We also interpreted that majority of respondents rated 3 that shows the
dependency effect on brand preference is liked up to moderate level.
3.1.11 Effect Of Purchasing Power (Pocket Money) On Soft Drink
Usage:
Above table shows the effect of respondent pocket money on soft drink usage. 57.1%
respondents told us that their usage of soft drink is on daily basis. Out of those 57.1%,
1.2% of respondents are those who have pocket money up to 500, 5.3% of
respondents are those who have pocket money from 500 to 1500, 12.2% ofrespondents are those who have pocket money from 1500 to 3000m 17.1%
respondents are those who have pocket money from 3000 to 6000 and 21.2% of
respondents are those who have pocket money more than 6000.
17.1% respondents told us that their usage of soft drink is twice a week. Out of those
17.1%, 1.6% of respondents are those who have pocket money up to 500, 2% of
34
Soft Drinks Usage * Respondent Pocket Money Cross tabulation
% of Total
Respondent Pocket Money
TotalUp to 500 500 - 1500 1500 - 3000 3000 - 6000 More than 6000
Soft
Drinks
Usage
Daily 1.2% 5.3% 12.2% 17.1% 21.2% 57.1%
Twice a
week1.6% 2.0% 3.7% 4.9% 4.9% 17.1%
Weekly .8% 2.0% 1.6% 3.7% 2.9% 11.0%
Monthly .4% .8% .4% 1.2% 2.9%
Occasionall
y2.0% 2.0% 1.6% 1.6% 7.3%
Rarely .4% .4% .4% .8% 2.4% 4.5%
Total 4.5% 11.8% 20.8% 28.6% 34.3% 100.0%
-
8/6/2019 BR Final Document
35/39
respondents are those who have pocket money from 500 to 1500, 3.7% of
respondents are those who have pocket money from 1500 to 3000, 4.9% respondents
are those who have pocket money from 3000 to 6000 and 4.9% of respondents are
those who have pocket money more than 6000.
11% respondents told us that their usage of soft drink is on weekly basis. Out of those
11%, .8% of respondents are those who have pocket money up to 500, 2% of
respondents are those who have pocket money from 500 to 1500, 1.6% of
respondents are those who have pocket money from 1500 to 3000, 3.7% respondents
are those who have pocket money from 3000 to 6000 and 2.9% of respondents are
those who have pocket money more than 6000.
2.9% respondents told us that their usage of soft drink is on monthly basis. Out of
those 2.9%, .4% of respondents are those who have pocket money up to 500, 0% of
respondents are those who have pocket money from 500 to 1500, .8% of respondents
are those who have pocket money from 1500 to 3000, .4% respondents are those who
have pocket money from 3000 to 6000 and 1.2% of respondents are those who have
pocket money more than 6000.
7.3% respondents told us that their usage of soft drink is occasionally. Out of those
7.3%, .0% of respondents are those who have pocket money up to 500, 2% of
respondents are those who have pocket money from 500 to 1500, 2% of respondents
are those who have pocket money from 1500 to 3000, 1.6% respondents are those
who have pocket money from 3000 to 6000 and 1.6% of respondents are those who
have pocket money more than 6000.
4.5% respondents told us that their usage of soft drink is rarely. Out of those 4.5%,
0.4% of respondents are those who have pocket money up to 500, 0.4% of
respondents are those who have pocket money from 500 to 1500, 0.4% of
respondents are those who have pocket money from 1500 to 3000, 0.8% respondents
are those who have pocket money from 3000 to 6000 and 2.4% of respondents arethose who have pocket money more than 6000.
35
-
8/6/2019 BR Final Document
36/39
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 20.820a 20 .408
Likelihood Ratio 20.711 20 .414
Linear-by-Linear Association 1.888 1 .169
N of Valid Cases 245
a. 17 cells (56.7%) have expected count less than 5. The minimum
expected count is .31.
Ho: There is no significant influence of pocket money on soft drink usage.
HA: There is significant influence of pocket money on soft drink usage.
As p value is 0.408 in chi-square test which is greater than alpha i-e 0.05. Since,
0.408 > 0.05 so accept Ho and results are insignificant. So, based on our sample with
95% confidence level we can say that there is no significant influence of pocket
money on soft drink usage.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .088a .008 .004 1.475
a. Predictors: (Constant), Respondent Pocket Money
As value of r square is 0.008, so correlation of coefficient is weak.
3.2 Coding scheme
We have used SPSS for data analysis. Also, we will submit data file of SPSS.
36
-
8/6/2019 BR Final Document
37/39
CHAPTER NO 4:
TIMEFRAME & BUDGET
37
-
8/6/2019 BR Final Document
38/39
4.1 Time frame
38
-
8/6/2019 BR Final Document
39/39
4.2 Budget
Detail Amount (Rs)
Transportation Charges 900
Photo Copy Charges 1000
Printing Charges 100Total 2000
4.3 References http://www.ncbi.nlm.nih.gov/pubmed/15281041
http://www.ijbnpa.org/content/5/1/60
http://www.ncbi.nlm.nih.gov/pubmed/15281041http://www.ijbnpa.org/content/5/1/60http://www.ncbi.nlm.nih.gov/pubmed/15281041http://www.ijbnpa.org/content/5/1/60