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3.4 SAMPLING DESIGN

3.4.1 POPULATION

The target demographic for this study is 100 young people among residents of Kampung Baru Kl aged 20 to 30 years old and above.
The responses were chosen at random by the research.

3.4.2 SAMPLING SIZE

This study has a sample size of 100 participants, all of are residents in Kampung Baru, Kuala Lumpur. Prior to doing statistical
analyses on the raw data obtained from the survey, the information was preprocessed. Prior to analysis, all data had been edited,
coded, and statistically modified utilising a data preparation technique that comprised editing and coding. When the data is entered
by the researcher, and any required modifications are made, this process is completed. In compliance with this statement, a sample
of at least 100 participants is required for this study.

3.4.3 SAMPLING TECHNIQUES

When calculating the total population, sampling is a technique that involves looking at just a small number of items or segments
within a larger population. The sample approaches of probability sampling and non-probability sampling, according to Sekaran
(2003), are classified into two categories. In this study, the respondent was chosen by the researcher using a basic random selection
method. Based on the findings of Sekaran (2003), simple random selection assures that every person of the population has an equal
probability of being selected as a research subject. The participants in this research were young individuals who were live around
Kampung Baru Neighborhood . Also stated is that this convenience strategy had the least amount of bias and, as a result, had the
greatest generalizability. Each element in the population has a known and equal chance of being selected as a topic resource,
regardless of its size.

3.4.4 SAMPLING FRAME

Specifically, the sample frame is a list of the constituents of the population from which the sample is produced, as defined by Cooper,
D.R., and Schindler, P. S. (2008). The sample frame is a depiction of the various elements of the target population. It is made
consisting of a list of instructions or particular instructions for determining the target audience. The sample frame for this research
consists of 100 respondents who are live in Kampung Baru.

3.5 DATA COLLECTION

The study must gather data from 100 young people among students who seen the Petronas Festive Advertisement. Prior to administering
a series of surveys, each prospective respondent who agrees to participate is provided with a brief overview of the research through an
information page attached to the questionnaire.

This information sheet contains information on the research, the study's objective, and the survey's purpose. Additionally, respondents
who consented to participate in the survey were asked to sign a permission form. Within two weeks, 100 questionnaires were delivered
throughout the research region. Following that, data input started immediately after completed surveys were obtained.

3.6 DATA ANALYSIS

The research must follow several processes and procedures in order to assess the data acquired. This technique comprises transforming
all raw data to statistical analysis and then translating it to an easily understandable and analyzable format.

Additionally, the data are analysed using the Statistical Package for Social Science (SPSS) version 26. SPSS simplifies the process of
cleaning data and identifying logical errors. The pertinent analytic procedure employed during testing should be offered to bolster the
study's persuasiveness, especially the proposed hypothesis.

3.6.1 FREQUENCY ANALYSIS

As stated by Cooper, D.R., and Schindler, P. S. (2008), a frequency distribution is a logical collection of all possible values for a
variable that is well ordered. The data from all questionnaire items in this study was represented graphically by a frequency table,
a pie chart, and a bar chart, according to the research.

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