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Data Analysis Projectnour91318iul2024.pptx
1. ISLAMIC UNIVERSITY OF LEBANON
Faculty of Economics and Business Administration
Management Information System
DATA ANALYSIS PROJECT
Analysis of Data on Electronic Interaction of
Customers Distributed Among Representatives of
Companies and Customers-South Lebanon
Prepared By:
Nour Hamze
Supervised By:
Dr. Jomana Al Haj Hassan
15/12/2023
2. Outline:
Chapter 1: Theoretical Framework
1.1- Reason for choosing this topic
1.2-Importance of the topic
1.3-Objectives of the study
1.4- Research hypotheses
1.5-Keywords
Chapter 2: Methodology
2.1- Study population
2.2- Study Sample
2.3- Study Tools
2.4-Descriptive study
2.5-Statistical Study
2.6-Tests Used
2.7-Variables Used
Chapter 3: Analysis and Results
3.1-Descriptive Analysis of Participants'
Responses:
3.2-Hypotheses:
Questionnaire Form
3. Chapter 1: Theoretical Framework
1.1- Reason for choosing this topic
Customer’s impressions during
the purchase process.
Customer’s expectations to interact
with them in a beneficial way.
Customer’s experience as a special
interest.
1.2-Importance of the topic
Real-time insights
Competitive Advantage:
Scalability and flexibility
4. 1.3-Objectives of the study
Is there a statistically significant relationship
between emotional value and gender?
Is there a statistically significant relationship
between personal interactions and age.
Is there a statistically significant relationship
between functional value and emotional value.
1.4- Research hypotheses 1.5-Keywords
Emotional Value
Functional Value
Personal Interactions
5. Chapter 2: Methodology
2.1- Study population
Strongly Disagree
Disagree
Neutral
Agree
Strongly Agree
Response
1
2
3
4
5
Degree
From 1 to 1.80
From 1.81
to 2.6
From 2.61 to
3.40
From 3.41
to 4.20
From 4.21 to 5
Range
Negative
Neutral
Positive
Classification
2.2- Study Sample
2.3- Study Tools
SPSS Application (Statistical
Package for Social Sciences)
6. 2.7-Variables Used
-Age
-Gender
-Marital Status
-Emotional Related Value
-Functional Related Value
-Personal Interactions
2.4-Descriptive study
Percentage and Frequency table
Bar/Pie charts
Central Tendency Table
Histogram/Boxplot
2.6-Tests Used
Independent t-test
One way ANOVA
Pearson Correlation
7. Chapter 3: Analysis and Results
Descriptive Analysis of Participants' Responses:
Age
Age
Frequency Percent Valid Percent Cumulative
Percent
Valid ]18-20] 14 31.1 31.1 31.1
]20-25] 15 33.3 33.3 64.4
]25-30] 6 13.3 13.3 77.8
above 30 10 22.2 22.2 100.0
Total 45 100.0 100.0
8. This pie chart shows the distribution of age groups in a sample. The
chart provides the percentage for each age group. The total of
respondents is 45 individuals distributed as 31.11% are between 18 and
20 years old, 33.33% are between 20 and 25, 13.13% are between 25 and
30, and 22.22% are above 30. The largest percent is for 20 and 25 interval
and that because of digital native generation where individuals in their
20s grew up in an era where technology, became increasingly prevalent
and because of online networking and relationships.
9. Gender
Gender
Frequenc
y
Percent Valid Percent Cumulative
Percent
Valid Female 35 77.8 77.8 77.8
Male 10 22.2 22.2 100.0
Total 45 100.0 100.0
This pie chart shows the distribution of gender groups in a sample. The chart provides the
frequency percentage for each gender group. The total of respondents is 45 individuals
distributed as 22.22% are males, and 77.78%.The large difference is due to the great
appetite of females for purchases more than males.
10. Marital Status
This bar chart shows the distribution of marital status groups in a sample. The chart provides the
frequency percentage for each status. The total of respondents is 45 individuals distributed as
64.44% are single, 31.11% are married, 2.22% are divorced, and 2.22% are widowed. The highest
percentage is in the single marital status and it could be due to their free time, out of
responsibilities.
Marital Status
Frequen
cy
Percent Valid
Percent
Cumulative
Percent
Valid Single 29 64.4 64.4 64.4
Married 14 31.1 31.1 95.6
Widowe
d
1 2.2 2.2 97.8
Divorce
d
1 2.2 2.2 100.0
Total 45 100.0 100.0
11. Emotional Related Value
This boxplot shows a distribution around the mean value (around 3.6). There are two outliers 1 and 28. The largest none
outlier is 5 while the smallest none outlier is 2.6. The mean is 3.6, the values are distributed as the mean score of 3.31
suggests that, on average, respondents perceive the company as providing moderate personal care. The higher
mean score of 3.71 suggests that, on average, respondents perceive the company more positively in terms of
prioritizing customer interests compared to personal care. This statement has the highest mean score of 3.84,
indicating that, on average, respondents perceive the company most positively in terms of understanding
customer needs.
Descriptive Statistics
N Minimu
m
Maximum Mean Std. Deviation
Provides personal care
for each customer
according to their
circumstances.
45 1 5 3.31 1.104
It puts the interests of
customer at the
forefront of its interests
and its employees.
45 1 5 3.71 .920
The product's company
understands customer
needs.
45 1 5 3.84 .824
Valid N (listwise) 45
12. Functional Related Value
A histogram potentially is displaying a symmetric distribution centered around the mean value (around 3.6). The peak
of the histogram might be around 4.00, indicating that this value is most frequently reported. The data points might be
relatively concentrated around the mean due to the moderate standard deviation. Indicating that the is a high
agreement in the good functional services in case of solving customers problems, quickly respondent or the security of
customers’ information.
Descriptive Statistics
N Minimu
m
Maximum Mea
n
Std. Deviation
Committed to quickly
respond to inquiries.
45 1 5 3.47 1.079
Care to solve
customer problems.
45 1 5 3.47 .919
Ensure the
confidentiality of
customer
information.
45 1 5 4.00 .826
Valid N (listwise) 45
13. Personal Interactions
The histogram has a shape that is somewhat skewed to the left due to the median being slightly lower than the mean. The
histogram's peak is around the mode value (2.67), indicating a higher frequency of occurrence at this particular score.
The distribution of scores shows a moderate variability around the mean, with data points spread out from the central
value. This result represents the low and weak interactions by customers in the side of supporting companies and
market’s name and image in social media and culturally.
Descriptive Statistics
N Minimu
m
Maximum Mean Std. Deviation
I made many
suggestions for
product development.
45 1 5 2.24 1.111
I sent the company's
website to family and
friends.
45 1 5 3.44 1.099
I added a 5-star online
rating.
45 1 5 2.64 1.246
Valid N (listwise) 45
14. -Hypothesis 1: Is there a statistically significant relationship between emotional value
and gender for customers.
Null hypothesis: There is no statistically significant relationship between emotional
value and gender for customers.
Alternative hypothesis :There is statistically significant relationship between emotional
value and gender for customers.
Emotional Related value: Continues
Gender: Categorical of 2 groups
Test used: Independent T-test
Hypotheses:
Gender N Mean classification Std. Deviation Sig p-value
Emotional
Related
Value
Female 35 3.7143 Positive .64748 0.118*
Male 10 3.3000 Neutral .96161
15. p-value=0.118>0.05
We cannot reject the null hypothesis so that there is no statistically significant
relationship between emotional value and gender.
16. Hypothesis 2: Is there a statistically significant
relationship between personal interactions and age for
customers.
Null hypothesis: There is no statistically significant
relationship between personal interactions and age for
customers.
M1=m2=m3=m4=m5
Alternative hypothesis: There is statistically significant
relationship between personal interactions and age for
customers.
At least one mean is not equal to others.
Personal Interactions: Continues
Age: Categorical of more than 2 groups
Test used: One way ANOVA
17. Descriptives
Personal Interactions
N Mean Std. Deviation Sig 95% Confidence Interval for
Mean
Minimu
m
Maximu
m
Lower Bound Upper
Bound
]18-20] 14 3.0000 .86726 0.712* 2.4993 3.5007 1.00 4.00
]20-25] 15 2.6222 .83444 2.1601 3.0843 1.00 4.00
]25-30] 6 2.7222 .77220 1.9118 3.5326 2.00 4.00
above 30 10 2.7333 1.05175 1.9810 3.4857 1.33 4.67
Total 45 2.7778 .87328 2.5154 3.0401 1.00 4.67
Sig=0.712>0.05
We cannot reject the null hypothesis so that there is no statistically significant
relationship between personal interactions and age.
M1=m2=m3=m4=m5
18. Hypothesis 3: Is there a statistically significant
relationship between functional value for
companies and emotional value for customers.
Null hypothesis: There is no statistically
significant relationship between functional value
and emotional value for customers.
Alternative hypothesis: There is statistically
significant relationship between functional value
and emotional value for customers.
Emotional value: Continues
Functional Value: Continues
Test used: Pearson Correlation
19. Correlations Functional Related Value Emotional Related Value
Functional Related Value Pearson Correlation 1 .620**
Sig. (2-tailed) .000
N 45 45
Emotional Related Value Pearson Correlation .620** 1
Sig. (2-tailed) .000
N 45 45
**. Correlation is significant at the 0.01 level (2-tailed).
p-value=0.000<0.05
We can reject the null hypothesis so that there is a statistically significant relationship between the emotional
value and functional value.
Pearson Correlation’s value is a positive value where whenever the emotional value increases functional value
increases and vice versa.
Pearson Correlation’s value=0.620 which is average bonding value.
20. Questionnaire Form
Analysis of Data on Electronic Interaction of Customers Distributed
Among Representatives of Companies and Customers-South Lebanon
Hello! Thank you for participating in our customer electronic interaction
data analysis google form. Your input is crucial in our quest to extract
valuable insights and trends from the information collected. We
appreciate your time and thoughtful input!
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Nour Hamze
21. Part one: Demographic Variables
# Description Strongly Agree Agree Neutral Disagree Strongly Disagree
1 Your age is between?
2 Gender
3 Marital Status
Remember the last product you purchased!!
Part two: Emotional Related-value
# Description Strongly Agree Agree Neutral Disagree Strongly Disagree
1 Provides personal care for each
customer according to their
circumstances.
2 It puts the interests of customer
at the forefront of its interests and
its employees.
3 The product's company
understands customer needs.
22. Part three: Functional Related-value:
# Description Strongly Agree Agree Neutral Disagree Strongly Disagree
1 Committed to quickly respond
to inquiries.
2 Care to solve customer
problems.
3 Ensure the confidentiality of
customer information.
Part Four: Personal Interactions
# Description Strongly Agree Agree Neutral Disagree Strongly Disagree
1 I made many suggestions for
product development.
2 I sent the company's website
to family and friends.
3 I added a 5-star online rating.