Title: Basic Statistics Mini Project
1Basic Statistics Mini Project
Research Title The relationship between the
time spent looking on the screen and emotional
stress among students in a college in Kuala
Lumpur.
2Introduction
- Independent variable Time spent looking on the
screen - Dependent variable Emotional stress
- Population College students
- Sample 66 college students (n30) large sample
- 5 descriptive research questions
- Section A Demographic Question
- Section B Emotional Stress Test
- 5 inferential research questions
3Reason for this Survey?
- The survey is created, because the college is
close due to the coronavirus pandemic. - Therefore, the education system is conducted
online for the health safety of the students.
4Section A Demographic Question
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9Descriptive Research Questions
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16Section B Emotional Stress Test
17Using the scale to rate 0 Not at all / 1
Rarely / 2 Occasionally / 3 Often / 4 Mostly
- I forget easily.
- I struggle to focus well.
- I think too much.
- I worry too much.
- I cry easily.
- I get angry easily.
- I find things unable to accept easily.
- I feel like being left out.
- I prefer to be on my own.
- I feel headaches often.
- I feel neck pain / back pain / muscle cramps
often.
- I have problems with diarrhea or constipation.
- I have problems with nausea and dizziness.
- I feel chest pain often.
- I have frequent colds or flu.
- I tend to eat too much or too little.
- I tend to sleep too much or too little.
- I tend to stay away from others.
- I tend to procrastinate or neglect
responsibilities. - I have nervous habits, such as nail biting or
walk very fast.
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19Inferential Research Questions
20Chi-square
- Yes, the respondents spent 7.90 hours on average
to look on the screen in a day with the majority
of five to six hours are experiencing moderate
emotional stress, which is 43.9.
Q1. Is there a relationship between the time
spent looking on the screen and emotional stress?
21Q2. Is there a relationship between the time
spent looking on the screen and studying hours?
- Yes, the respondents spent 7.90 hours on average
to look on the screen in a day with the majority
of five to six hours where 4.21 hours on average
to study in a day with the majority of six to
seven hours are involving on looking on the
screen.
Chi-square
22Q3. Is there a relationship between emotional
stress and sleeping hours?
- Yes, the respondents spent 7.36 hours on average
to sleep in a night with the majority of eight to
nine hours. - As a result, the majority of the respondents are
experiencing moderate emotional stress, which is
43.9 and mild emotional stress, which is 42.4.
Chi-square
23Q4. Is there any relationship between the time
spent looking on the screen and sleeping hours?
- Yes, the respondents who spent 7.90 hours on
average to look on the screen in a day with the
majority of five to six hours would spend 7.36
hours on average to sleep in a night with the
majority of eight to nine hours.
Chi-square
24Q5. Is there a difference in emotional stress
between male and female students?
- Yes, the male students are feeling mild emotional
stress whereas the female students are feeling
moderate emotional stress.
Chi-square
25Organizing and Summarizing Data
26- 2. Age
- Mode 21 (age 20)
- Mean 8.25
- Median 10
- Standard deviation 7.7
- 1. Gender
- Mode 47 (female)
- Mean 33
- Median 33
- Standard deviation 14
- 3. Emotional Stress Level
- Mode 29 (Moderate)
- Mean 13.2
- Median 4
- Standard deviation 12.54
27Analyzing Data
- Pearsons Correlation
- ANalysis Of VAriance (ANOVA)
- Chi-Square
- After conducting 3 methods, it concludes that
there is no significant difference between the
emotional stress levels that are caused by the
hours of looking at the screen. Everyone is
equally stressed.
28Limitations
- Since the college is closed, no access to IBM
SPSS Statistics on the computers at the library
to do the data analysis. Using the free trial
version is complicated to use. - The online version is used as an alternative,
because it has (1) intelligent algorithm (2)
remarkable consistency (3) easy processing (4)
solves problems and (5) data security. - Unfortunately, it only analyses 50 samples
(75.76), leaving 16 samples (24.24) which are
not analysed. However, most of the collected
samples are analysed in general. - Since this is the first time doing the data
analysis, the result of the data analysis has
given a brief idea of how it works for Pearsons
Correlation, ANOVA and Chi-square when answering
the inferential research questions.
29Conclusion
- It concludes that with the increase of hours
staring at the screen, it will cause students to
have a change in their emotion, behavior and
physical state (some of them will get sick and
uneasy). This will cause the emotional stress
level of students to increase. - To combat and improve on this issue, lecturers
can consider - Decreasing the online lecture hours
- Encouraging students to do more self-studies
30THANK YOU