Page 184 - MARSIUM'21 COMP OF PAPER

Section: Content
Section A Demographic profile

Section B Independent variables – packaging color
Section C Independent variable – packaging material
Section D Independent variable – packaging graphic

Section E Independent variable- packaging size and shape
Section F Dependent variable - customer’s purchase intention

Table 3.5: Sections of Questionnaire

3.6 Data Analysis Design

For data analysis design, The Social Sciences Statistical Package (SPSS) software will be used to analyze the independent
variables which are packaging color, packaging material, packaging graphic and packaging size and shape and dependent
variables (customer’s purchase intention) toward Hanzala Enterprise.

3.7 Data Analysis Method

Table 3.7 summarize the data analysis method that will be used in this study

Types of Analysis Explanation
Descriptive Analysis Descriptive Analysis will be used to analysis the demographic information such as
Gender, Age, Education level and Monthly income
Reliability Test Reliability Test is using to test independent and dependent variable without error
Normality Test Normality Test refers to a specific statistical distribution called a normal distribution.
Skewness and Kurtosis will be evaluating to determine whether the independent and
dependent variable are normally distributed.
Multiple Regression Analysis Multiple regression is a statistical technique that can be used to analyze the relationship
between a single dependent variable and several independent variables.
The hypothesis will be accepted if the significant value (p-value) is less than 0.05

■ 4.0 DATA ANALYSIS AND FINDINGS

4.1 Descriptive Analysis

4.1.1 Respondents Background

Table 4.1.1, is the summary of demographic information of 120 respondents which include gender, age, education level
and monthly income. Based on this table, there are more number of female respondent (55.0%) than male (45.0%). The
majority of the respondents are between 21-30 years old which contribute (50.0%) of the respondent followed by 31-40
years old (27.5%), below 20 years old (11.7%), 41-50 years old (10.0%) and 51 years old and above (0.8%). The
respondent of this research is majority educate from bachelor degree (35.8%) followed by STPM/Diploma/A-level
(28.3%), SPM (23.3%), Master (9.2%) and PhD/ DBA (3.3%). Furthermore, most of the respondent’s monthly income
level is RM1001-RM2000 (28.3%), followed by RM2001-RM3000 (27.5%), less than RM1000 (23.3%), RM3001-
RM4000 (13.3%) and RM4001 and above (7.5%).

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