Analysis of Coca-Cola and ASDA Cola Preference: PSY701 Report

This report presents an analysis of student preferences between Coca-Cola and ASDA Cola, exploring factors influencing brand choice. The study employed a repeated-measures t-test to compare preference ratings. The methodology involved a classroom-based experiment where participants rated their liking for both beverages. Data analysis included descriptive statistics, normality tests, independent t-tests (by gender), and correlational analysis (age vs. preference). The results indicated that both brands were positively perceived, contrary to the initial hypothesis that Coca-Cola would be significantly preferred. Limitations included the use of a student sample. The findings suggested that factors beyond taste, such as advertising and brand perception, significantly influence consumer preferences, with SPSS used for all statistical analysis.

Running Head: PREFERENCE 1
Coca Cola and ASDA Cola Preference Analysis
Name of Student
Class
Date

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ABSTRACT
The study that will follow in this case will be looking at the actual analysis of the preferences that
there is on two types of soft drinks. One of the soft drinks has its name indicated as Coca Cola
and the other one has its name indicated as ASDA Cola. There will be preference notation
ranges and all that is what will have to be analyzed. There will be different sections covered in
the analytical study by SPSS and these include; Introduction that will give an extensive review
of the actual literature that is to be covered in this case giving reasons as to why the research
was conducted; the next section to be focused on will be the method section that will extensively
look at design of analysis, participants and the materials that are to be employed in the entire
study. There will be the use of both males and females when it comes to getting the preference
rating of the two drinks that have been included and indicated to be undertaken for the study.
Materials of usage, procedures and the ethical considerations will have to be aligned in this
case and in full. The results of the analysis will have to be taken into consideration as well and
this is where the detailing on the analytical explanation will be done. The discussion on the
results must also be included and this comes before the references. The discussion only gives
the illustration of what the realized results stand for and what to state about it.
INTRODUCTION
Like it has been pointed out in the abstract section the whole study will be based around finding
out which soft drink brand is preferred to the other. In this case, the brand names will include
Coca-Cola as well as ASDA Cola. Several factors do affect the preference of a brand to another
and, when two brands are involved, there will always be one that appears to be at the top in
terms of consumption than the other. In this case, the phone will tend to discuss reasons as to
why Coca-Cola, as it's known, will be at the top of the perception chain as opposed to ASDA
Cola.
Factors that greatly affect the preference of two products and that would make a product like
Coca-Cola be well perceived than ASDA, includes;
 Secret Recipe: Several businesses have tried to get into the line of soft drink provision
over the years and I've been forced out of business just because Coca-Cola stands to be
at the age of exemplary performance by offering a unique product to consumers through
a secret recipe. This act of having a secret recipe in production makes Coca-Cola a
highly unique drink and that cannot be matched by the drinks that are produced by its
competitors. The staff also to eat at the likes of Pepsi always under-performing when it
comes to the number of cells that were realized by both Coca-Cola and Pepsi. It is
therefore very clear that in this case Coca-Cola is highly perceived as opposed to ASDA
because it offers a very secret recipe.
 Advertising Campaign: The power of high sales and highly dominance in the market is
regular product promotion this is something that Coca-Cola has done to perfection over
the years and its high perception in the market. It offers advertising campaigns that
move in large volumes through trucks as well as on media platforms and this equates to
its relevance over time.
 Psychology of Expectations: The psychology of expectations is something that greatly
affects if a product is to be consumed in high amounts or not. Factors such as labels
being included on the packaging of bottles bring about very positive results because the

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same branded drink can easily be identified with amongst several other and Branded
and unlabeled soft drinks. Appealing symbols and values as well can bring about a
sense of association with a product as seen over time by consumers and thus the phone
effects the difference in Perception between Coca-Cola and the unbranded suffering in
this case.
To get to understand if the perception of the two brands of soft drinks that would be considered
in this case is almost similar or different or even similar at all, there will be a look into the
hypothesis; The students in the class will prefer coca-cola over the ASDA cola.
The already stated hypothesis will be measured using repeated-measures t-test. This is
because there are different ratings in terms of preference of the two soft drinks in question.
METHOD
This is the section that tends to deal with the recipe of the entire study. In this section will be
talking about the data set and the sampling methods as well as their analysis processes and the
software of analysis that has been used. The study was highly best in a classroom whereas a
sample data set that represented a group of students was taken and they were approval rating
all preference rating of two brands of soft drinks were also noted. Of the sample, there was a
mix-up between males and females. Most of the participants were in their 20s. The approval
rating ranged from 0 to 90. 0 being the least preferred and 90 being the most preferred.
There are up to four variables that will be considered in the analysis and these include liking of
Coca-Cola liking of ASDA Cola gender and age all of these will be entered and defined in SPSS
after which analysis will follow.
The set of analysis that will be conducted includes descriptive statistics analysis, which will
entirely look at the measure of central tendency as well as the count and check for any missing
data. If by any chance missing data is realized, then it is only advisable for the missing data sets
to be fed up using the series mean in this case. Normality test, on the other hand, will be
performed to have a look at the normal distribution of the data set. the normality of the data set
will be deduced from the p-value realized after running the normality test.
Exploratory analysis will be employed on two fronts. The very first front will be the use of
independent t-test to check the reference on the two brands of soft drinks by gender. The
second exploratory analysis will be to look into the correlation between age and the preference
ratings of the two soft drinks. The final analysis will be the inferential analysis that tends to test
the null hypothesis stated in the introduction section. Testing of the Nile hypothesis as we stated
would only be performed through the use of repeated measures t-test. this is because
preferences are entries in numbers that represent thoughts and perception of a product (Paulus,
& Frank, 2019).
RESULTS

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This is the part where the actual results that have been gotten through the analysis processes
and procedures that are mentioned in the method section will be reported in pictorial form and
discussed true words in a bid to elaborate and get to get why and how the results are the way
they are. What's a good beginner pack as we stated earlier run there will be a look into the
descriptive statistics of all the variables that will be considered throughout the analysis process.
From the above, it is very clear that there are no missing values in any variables at all. The
measures of central tendency in this case and this is the inclusion of the mean and the median
indicates that the data points are not separated from far apart from each other as can be seen
by the fact that the value points are closely together (Alvino, van der Lubbe, Joosten &
Constantinides, 2019). From the above table, it is aligned and an individual can be readily read
out the mean median mode standard deviation and other values that are related to the
descriptive statistics of every variable.
Frequency analysis on every variable is as per the screenshots below;

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The next analytical report that needs to be made in the group analysis is to do a normality test
on the data set that was provided. This is to see whether the data points are normally distributed
or not.

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From the test of normality table above it is very evident that the significant value is below the
0.05 value of significance for all the variables across call Kolmogorov and Shapiro tests. This,
therefore, is a clear indication that the hypothesis that states that the data set are normally
distributed should be rejected (Keast & Riddell, 2019). By definition the latest it is undistributed
normally. What is highly interesting of the above conclusion is the fact that even in the
histogram distribution screenshots that will follow below it is highly evident that the data set
there will be pointed out, in this case, is highly normally undistributed (Gulilat, 2019).

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It is very clear that for the case of liking Coca-Cola the data points are not normally distributed
as indicated by the histogram as well as the scatter plot.

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It is evident that of the above value and plots all the scale variables that are to be taken into
consideration are not normally distributed both on Instagram and the tallest scatter plot.
Coming to the independent samples t-test, there will be a comparison of two groups and this
includes the males and the females. The comparisons that will be made in this case will be
about the mean that the two groups of the male and the female do share when it comes to
preference analysis (Benajiba & Mahboub, 2019). The screenshot of the said results will be as
below;

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The means are different as indicated by the man values and this is supported by the sig and the
t-test values.
The correlational values that are there between age and liking Coca-Cola and age and liking
ASDA Cola I significantly very low and tends towards zero. This is an indication that age does
not entirely have that great of an effect when it comes to an individual’s preference on either of
the soft drinks. It is only the two brands of soft drinks that are highly correlated and an indication
that once choosing depends on another choosing positively (Burger & Stice, 2019).
In this final bit does the testing of the null hypothesis and since the study was conducted in a
classroom shut up they'll be the name to look at which brand of suffering is highly preferred by
the students. As per the null hypothesis, it is clear that Coca-Cola is preferred more than ASDA
Cola a statement that is subject for testing.