research report on transportation
TRANSCRIPT
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Research Report on 2011
Supervisor: Mr. Armagan Mazh
By:
Malik Saad Noman
12/26/2011
Usage of Public and Private
Transportation in IIUI
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Contents
Sr. no Topics
1 Introduction 32 Exploratory Research 43 Literature Review 44 Research Questions & Objectives 4
5 Questionnaire 5
6 Research Model 7
7 Dependent Variables 88 Independent Variables 89 Variables 8
10 Busses timing and Class timings 811
Status (living standard) 8
12 Topography 813 Safety 814 Economic stability 815 Valuation of time 916 Health 917 Emergency 918 Methodology 9
19 Target population 9
20 Population & sample 921 Sampling frame 922 Sample size 923 Sampling unit 924 Techniques 9
25 Types of survey 1226 Sampling Method 1027 Research Design 10
28 Hypothesis 10
29 Descriptive Table 10
30 Result 11
31 Conclusion 13
32 Graphs & Tables 14
33 Appendix 1 1434 Appendix 2 2235 Appendix 3 3736 Appendix 4 4837 Appendix 5 58
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Introduction
In last one and half decade economic down turn which has been caused by the Capitalist society
of Pakistan which includes (Industrialists, Bureaucrats, Land lords and more importantly loan lenders and
Banks) overextensions of credit, because of that the Pakistan economy is declining. The daily purchase
has changed from direct payment to loan of the people of Pakistan because every department and field ofthe nation is under the strong hand of banking and lending industries loans. People in Pakistan have
started to feel the air and heat of decline in their daily life due to more burdens of loans on Pakistan and
the de value of its currency. Because of this major population of the Pakistan is affected other than the 5%
elite of Pakistan. And from that major population of somewhat above 90% have the families which has
just been trying to cope up with the situation by earning hand to mouth and to decrease the number of
children and also by literate their children. And this major population consists of youth (even a rough and
rounded figure tells us that 30 million is youth is there) so it is a good part of the population which is
effected directly and indirectly effected by the down turn in economy. As most of the youth is studying
the feel the air like a thunder when a tsunami hit the HEC and government institutes that the government
of Pakistan is not ready any more (as they were) to support the students on education. In the tenure of
Musharaf govt., HEC and Government was on the upfront to support education and IT field. But after
2008 it has a decline and with that privatization of the public departments has pulled the trigger tighter on
the daily life. Because of all this the prices of basic necessities, fee structure of the colleges and
universities takes a drastic move towards high which push the youth and students and their families under
the hammer so hard that there is stress and struggle on high in every part of student life (from family to
the university) there are a lot of things which they have to look for comprising on their budget which has
been allotted to them from their family. Having the future of them and their family students are much
stressed up. Because the place and the country they are living in is the place where even higher education
is not worth a lot now. As for the sake of success every person going to get the best education to get the
job according to their field but issue is gets even worst for them when there comes the factor of terrorism
and uncertainty in economy on the scene. Due to this the multi-national companies are not muchinterested to invest in Pakistan. Which means that there would go to be fewer jobs for the students of high
education? And if there are any (jobs) there would be a big competition due to the less job places and
more applicants for the jobs. A better word which can suit this is an unemployment and inflation with
which country is fighting with.
And the problem which we are now looking to find out what the transportation part of
students life is affecting them. Because in our point of view it is extra and still an important thing to cope
up with for students. As having fewer budgets and private institutes more with less budget colleges and
universities do not prefer to have hostels accommodations for boarders which awakes the point to use
means to move to the campus. We have tried to look what means of transportation students use keeping
have in mind their personal expenses and fathers income plus the age and degree and also the place that person is living during the study tenure. Because these factors we believe also affect the means of
transportation.
A significant portion of Pakistan economy contains on transportation. One segment of the
population effected by these downturns is University Students.
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The strong need to improve transportation of students in university has most notably been
demonstrated in efforts to change the model split of transport from private to public means. Society is
faced with problems like traffic congestion, air pollution, and limited accessibility. And students are also
facing the problems like .for this sake we have try to find out what are the ease of students of Islamic
university as far as the transportation is concerned. And we also have try some what our best to know
what the people have opinion on ways of transportation means.
Exploratory Research:
There are many secondary researches on this topic but for primary research we did research to
explore the reality that what mode of transportation students, faculty members and staff prefer for coming
to university. We collected the data through questionnaires and knew lot of things which one cannot reach
directly. We used to fill out questionnaires from International Islamic University Islamabad we collect
information from 149 people and get data about different aspects including their father occupation, age,
residence, and income etc. through asking different questions to know what exactly their views about
transportation.
Literature Review:
On the basis of the recent down turn of economy which have been discuss earlier under the light
of HEC and non government funds we came up with this topic to have the opinion of our honorable
student of Islamic university that what are the reasons they have in the mind to opt for whether university
transport or private transport. Because some of the people have the higher education programs during
which they are teaching too or having a part time job somewhere. So what they say about the usage of
university transport, either they this is suitable for them or not. There are also some students which are
living in Rawalpindis cheap area or in the background area or in the area where the university buses
dont move we try to find out their view too. And also the students which have classes on that timing
which is not matching to busses timings. We also try to find out the view which students dont have themoney to use the private transport. Plus the students which feel feasible to use university transport on
different other reason.
Research Questions & Objectives
Research Model:
Purpose of research model is to discover what the relationship is between our chosen variable and
students, staffs, and faculty members preference of traveling mode. We think there will be a
relationship between preferences of mode of transportation and the following variables: Busses timing
and Class timings, Status (living standard), Topography, Safety, Economic stability, Valuation of time,Health, and Emergency.
The core objective of this research project was to measure the effect of all the independent
variables on University students, staff, and faculty members preference of traveling mode and overall
attitude toward transport arrangements for university.
Questionnaire:
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Name: _____________________________ Age: ____________ Sex: Female Male
1. Occupation:Student Staff Faculty Other_________
2. For how many days you go to University for your work or classes in a week?2 Days 3 Days 4 Days 5 Days 6 Days 7 Days
3. Where do you live while attending school?On campus hostel Off campus hostel Surroundings (within 5km) Own
Home Other ______________4. What is your fathers occupation?
Business Agriculture Job Other ___________
5. Approximately how much monthly income of your father is? (In Rs.)30,000 - 60,000 60,000 - 90,000 90,000 - 120,000 above 120,000
6.
How much your monthly income or pocket money is? (In Rs.)
1,000 - 5,000 5,000 - 10,000 10,000 - 15,000 above 15,0007. Do you love to drive yourself?
Yes No
8. Do you have vehicle at home?Yes No
9. Which vehicle you own?Cycle Motor bike Car Other___________
10.How many cars you have at home?One car Two cars Three or more No car
11.Do you have driving license?Yes No (page 1)
General
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Questions Strongly
Agree
Agree Neutral Disagree Strong
Disagree
1. University buses are safe for travel2. I go by car for job or attending classes3. I encourage university transportation4. An officer should travel on buses5. University transport is good6. Car is not good for students7. I prefer car if my pocket money will double8. Buses are not good for health9. I use university buses in emergency10.Student should travel on taxi11.I use bicycle because it maintain my fitness12.Travelling on public transportation saves my
money
13.You feel better while using privatetransportation for going to university
14.On private transportation I have more freedomthan public transport for university
15.If my pocket money or income doubles then Iwill prefer Taxi
16.I will use university buses if my pocket moneywill double
17.I feel better while using private transportationfor going to university
18.If my pocket money or income doubles then Iwill prefer motorbike
19.I prefer university buses because universitycharge transportation fee forcefully
20.I do not use car/bike because of unexpectedaccidents
21.Private transportation is responsible ofcongestion on the road
22.Transport section in university is just wastage ofmoney and time
23.My father prefers car/bike for me rather thanuniversity Buses
24.I prefer car/bike because of rush in universitybuses
25.I use bike because my house is far away fromuniversity
26.Im very satisfy with my arrangements oftransportations
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Research Model:
Dependent Variables: Independent Variables:
Buses timing Economic stability
Class or Office timing Valuation of time
Status (living standard) Health
Topography Emergency
Safety Peer group acceptance
Transportation
Private
Cars, Motorbikes,
Bicycle and Taxies
Public
University Buses
Satisfaction
Modes
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Variables
The variables used in this research project are drawn after an exploratory research and literature
review of previous transportation studies and relating journal articles regarding student population. Model
includes more complicated and interrelated variables which prove to be too difficult to logically link
together and test via our statistical techniques. We learned to carefully craft our variables and our model,so we can measure what we are really interested in not any irrelevant relationships. Detail of all variables
is given below:
Busses timing and Class timings:
Under this variable, intentions are to measure the derived busses timing of students has adapted
during his/her stay in University. Question 2(page1) and 9(page2) in questionnaire contains to this
variable. Question 2 (page 1) employs a simple nominal scale. Question 9 (page2) is a likert scale
question. Questions under this variable are about the class timings, buses timings, working days and
usage of transportation in emergency. Its purpose is to isolate class timings from buses timings.
Status (living standard):
This variable will measure different types of occupations, monthly income, pocket money, and
ownership of vehicles. Intentions are to measure the derived lifestyle, student, staff and faculty members
have adapted to during his/her university life. Question on page 1 are Q no.1, 4, 5, 6, 9, 10 and on page 2
are Q no.2, 4, 7, 12, 15, 16, 18, 23, and 24. On page 1 Q no. 1, 6, 9, 10 are of nominal scale and 4, 5 are
of ordinal scale. On page 2 all questions are of likert scale. Question items under this variable are about
type of residence, income, traveling desire, and also ownership of vehicles. Its purpose is to isolate
traveling preferences from lifestyle maintenance spending.
Topography:
Different demographic attributes of selected sample will be recorded under this variable and then will
gauged with data collected under other variables to try to discover unknown relationships and validate
previously know relationships. Under this variable, intention is to measure residence of student during
the study or work in university. Question no.1 (on page 1) is if nominal scale and Q no. 25 (on page 2) is
of likert scale in the questionnaire pertaining to this variable.
Safety:
Purpose of this variable is to measure safety on university buses or private transportation.
Question no 1, 19, 20, and 23 (on page 2) in questionnaire pertain to this variable. And both questions use
likert scale for measuring respond.
Economic stability:
This variable simply measures fathers income of responder and monthly income/pocket money
of responder. Question 5 and 6 (on page 1) in the questionnaire pertain to this variable. Both questions
use ordinal scale for measuring the response.
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Valuation of time:
This variable intend to measures responding students attitude towards travel for educational
purposes and traveling effect on his/her time of study. Questions 9, 17, 21, 24, and 25 (on page 2) in the
questionnaire pertain to this variable. All of the question items regarding this variables use likert scale to
record the response.
Health:
This variable intends to measure attitude of students, faculty members and staff toward traveling
effect on his/her health. Questions 8, 20 and 11 (on page 2) are relevant to this variable.
Emergency:
This variable will measure the attitude of responder toward preference in emergency. Question
no 9, 13, 14, 17, and 24 in questionnaire are related to this variable.
Methodology
Target population
Population & sample:
The target population for this study is all individuals that share the common characteristic of
begin currently enrolled university students, staff & faculty members.
Sampling frame:
The sampling frame or working population, for this study is all currently enrolled students, staff
& faculty members found on the 704 acre International Islamic University, Islamabad during a typical 12
hour period. The current student & staff population of IIUI is 16000 approximately.
Sample size:
The group plans on gathering 149 questionnaires in which male & female both are included. It is
an anticipated that by simply following the random sampling procedures outlined above that we will
achieve the goal without any effort given to purposely selecting men or women to balance the study.
Sampling unit:
Our sampling unit is individual people in IIUI including staff, student & faculty members usingthe random sampling method.
Techniques
Types of survey:
This survey is a combination of likert, nominal and ordinal scales. The survey will be administered by
using the intercept method at specific location on the IIU new campus.
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Sampling Method:
The group used a multistage area sampling. We divide the IIU into 4 equal parts roughly based upon
population density and assign each quadrant a number 1 through 4. Each group member have equally
questionnaires and all questionnaires were distributed among male & female in two category and student,
staff and faculty members are in sub category.
Research Design
This is a field study and the research design in descriptive in nature. This study is being
undertaken in order to understand and describe the factors that are the causes of usage of university
transportation as well as private transportation. Our group utilizes the written questionnaire as the primary
data collection mode. The Questionnaire method for use in this study is appropriate because questionnaire
enable the group to evaluate a large sample of population efficiently and at a low cost. This is especially
true for studies involving large sample sizes and large geographic areas. Written questionnaires become
even more cost effective as the number of research questions increases. Questionnaires are easy to
analyze. Data entry and tabulation for nearly all surveys can be easily done with computer software SPSS.Questionnaires are familiar to most people. Nearly everyone has had some experience completing
questionnaires and they generally do not make people aware. Questionnaires reduce bias. There is
uniform question presentation and no middle-man bias. The researcher's own opinions will not influence
the respondent to answer questions in a certain manner. There are no verbal or visual clues to influence
the respondent.
Hypothesis:
H 0:Students promote University transportation but others all promote Private transportation.
H 1: Who go for work for few days to university, prefer private transportation
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Results of Research
Effect of Occupation on traveling mode
(Appendix 1)
As we see on statistical data over
research sample is contains on 149, which are
contains on male and female students, staff
members, faculty members and others of IIUI. In
which almost 90% are students, 8% staff, 1%
faculty and 1% others (Figure 1.a). Most of the
sample size contains on students. Occupation
also effect on the desire of preference of
traveling mode. We think that students prefer
university transportation but faculty members
most prefer to personal transportation (private
transportation). When we talk about satisfactionand safety of university people about university
transportation, so in the respond of a frequent
question almost answer of all is same. Students
respond on this is the university buses are safe
for travel. Mean of students answer is 1.92
which is in between of strongly agree and agree.
And the mean of Staff is 1.67 which is again
in positive towards the safety (figure 1.1.2,
1.1.3, 1.1.4, 1.1.5). Students and staff lays
between agree and disagree but others are in
between neutral.
When investigate through research
about the level satisfaction of students and staff
of IIUI. Through we find amazing things that
most of the students and staff members are
satisfied on arrangements of university
transportation. Mostly students and staff
members rely on university transportation. They
consider university transportation is good.
Students are lying between agree and neutral,which shows that students are also confused. But
they are most probably satisfied. In case of staff
they are almost fully satisfied and feel safe in
university transportation then private
transportation. (See in figure 1.2.3, 1.1.5)
Effect of Residence on travelling mode
(Appendix 2)
Our sample was containing on five
categories of residence. In which there are
almost 21% people who are living at on campus
hostel and 14% are those who are living in off
campus hostel, both are hostelries. 7% living in
surrounding (with in 5km range of university),
54% in own home and 4% living in others. A
person who lives in hostel has some different
opinion from those who lives in surroundings or
in others. People who lives in hostel or in own
home they think that university transportation issafe. But people who are not living in hostel or
own home, who lives in flats and apartments,
they confused. Some of them are feeling
comfortable in university transport and some of
them prefer private transportation. Mean of
other is 3. Mean they are somewhat agree
(figure 2.1.2) people who lives at their own
homes they use university transport.
Most of the students and others who
lives at on campus hostel or in own home they
believe that personal arrangements of
transportations while going to university is not
good. It may be much expensive. But people
lives in off campus hostel or surroundings they
consider private transportation is good. (See
figure 2.2.2, 2.2.3). People who lives in their
own home they relying on both personal and
university arrangements for come to university.
Factor is that who is living in hostel or in
surrounding have not his/her own vehicle. Butwho live in own home have the opportunity of
personal convince for coming to university.
People who are living in hostels or in
surroundings have neutral opinion on the
preferences to private transportation, because
they are having financial problems. People
living in own home or others they do not feel
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good for travel on bike. Most of the people
desire more than enough money, for status and
want to be unique. IIUI is located in Islamabad
and it is the capital of Pakistan, people who are
living in Islamabad are rich. Most of the people
want higher status so people do not want to use bike, because in this society using bike as
compare to car is sham. In our research we
found the people of IIUI who lives in Islamabad
and Rawalpindi are greedy people. (See figure
2.3.3)
Effect of Working Days on traveling
mode (Appendix 3)
Our hypothesis was that people, who gofor work for few days to university, prefer
private transportation and who goes daily prefer
university transportation.
We categorized people according to
their working days. Almost 4.7% comes to
university for 2 days, 3.4% for 3 days, 34.2% for
4 days, 49.7 for 5 days, 3.4% for 6 days and
4.7% comes 7 days to university. (See figure 3a)
Most of the people come to university 5days. A different thing which we found through
this research is that people who come to
university for 7 days means complete week, they
discourage university transportation. And all
other who come to university 2, 3, 4, 5 and 6
days they encourage university transportation.
The reason of that conflict is because peoples
work schedule and busses timings are not same
so that people who have duty of 24/7 discourage
university transportation. (See figure 3.1.5)
Through this research we find that most
of the people thought that private transportation
is the reason for congestion on roads. If public
transport will use then congestion on the roads
may be reduces. People who come to university
daily or for 2, 3, 4, 5, 6 days they all are against
of private transportation. (See figure 3.2.4,
3.2.5)
Effect of pocket money on traveling mode
(Appendix 4)
Sample size of research also categorized
in four categories. (See figure 4a, 4b and
Deceptive table)Most of the people whom
pocket money or income is in range of 1, 000-5,
000 their opinion is confusing about private
transportation. They feel freedom in university
transportation. Mean of answer of this category
is 3.17. Means they prefer public transportation
and lying between somewhat agree and disagree.People whom income or pocket money range is
5,000-10,000 they are near to somewhat agree
but also disagree. As income of people increase
preference of people also change. And in third
category people of income range 10,000-15, 000
they prefer to private transportation rather than
public. They feel free in private transportation.
In all these three categories we conclude that
income have an effect on traveling mode
preference. But in fourth category of income
range of above then Rs.15, 000, mean of
answers of the people is 3.44 (See figure 4.1.1)
they are totally opposite. They are near to
disagree and lying between neutral and disagree.
As in bar chart (figure 4.1.5) over all
result is that people whom income is low they
feel free and prefer private transportation and
whom income range is high they prefer
university transportation.
Income effects on the preference of
mode of transportation. People in IIUI lying in
low income category they have not cars and
whom income is laying in highest category they
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have cars and other vehicles and also use for
coming to university. (See figure 4.2.1) mean of
answer of income level of 1, 000-5, 000 is 3.88,
5, 000-10, 000 is 3.63, 10, 000-15, 000 is 3.50
and mean of above 15, 000 income is 2.83. Rich
people prefer cars rather than university buses
they are laying between agree and disagree and
lower class people prefer university
transportation they are laying between neutral
and disagree. See bar chat (figure 4.2.4) most of
the people who comes on car are laying in 1st
category but their wattage is high as compare to
people belongs to 4rth category.
Effect of desire of traveling on travelingmode (Appendix 5)
Preference of everything depends on
desire. Desire of driving also affects the
preference of transportation mode. In our sample
size of 149, 77.2% have desire to drive. And
22.1% of people dont want to drive. We
conclude that people who love to drive they
dont care about accidents and people who dont
drive or having not desire of drive, they have
fear of accidents. See figure 5.1.2, people who
loves to drive, whom response of question is
lying between agree and disagree. And who does
not want to derive their answer is lying between
neutral and disagree. Means they do not prefer to
drive because of unexpected accidents. But if we
see figure 5.1.5 then we found many people who
love to drive but also having fear of unexpected
accident. And majority of having no desire ofdriving is agreeing and strongly agree the fear of
accidents.
Those people who want to drive their
income or pocket money effect on preference of
private transportation. They will prefer to drive
if their income or pocket money. People who
love to drive they will prefer to car or motorbike
if their income increases and those who do not
want to drive their income will not affect on
preference of transportation mode.
Conclusion:
Conclusion of this research is that every
factor occupation, residence, working days,
pocket money & income, and desire of driving
effect on preference of traveling mode. These
are some points which we conclude after our
research:
Students prefer university transportationwhile staff prefers private transportation.
But both are satisfied from university
transportation.
People who lives in hostel and ownhome they travel in university buses but
who stay at home, they prefer to cars for
coming to university.
Most important point is that who cometo university for 7 days he/she prefer
private transportation but who come for
2, 3, 4, 5 and 6 days he/she prefer
university transport.
People whom income is low they preferuniversity transport and whom income is
high they prefer private transport.
Desire of drive also depends uponunexpected accidents. Most of the
people do not want to drive because of
accidents. And their income has noeffect on their desire of driving.
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Graphs & Tables
Appendix 1Figure 1.a
Occupation of responder
Frequency Percent Valid Percent Cumulative Percent
Valid Student 133 89.3 89.3 89.3
Staff 12 8.1 8.1 97.3
Faculty 1 .7 .7 98.0
Other 2 1.3 1.3 99.3
6 1 .7 .7 100.0
Total 149 100.0 100.0Figure 1.b
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Variable 1:
Figure 1.1.1
ANOVA
University buses are safe for travel
Sum of Squares df Mean Square F Sig.
Between Groups 12.044 4 3.011 3.023 .020
Within Groups 142.409 143 .996
Total 154.453 147
Figure 1.1.2
Explore Table:
Descriptives
Occupation of responder Statistic Std. Error
University buses are safe for
travel
Student Mean 1.92 .086
95% Confidence Interval for
Mean
Lower Bound 1.75
Upper Bound 2.09
5% Trimmed Mean 1.83
Median 2.00
Variance .971
Std. Deviation .986
Minimum 1
Maximum 5
Range 4
Interquartile Range 1
Skewness 1.320 .211
Kurtosis 1.648 .419
Staff Mean 1.67 .333
95% Confidence Interval for
Mean
Lower Bound .93
Upper Bound 2.40
5% Trimmed Mean 1.52
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Median 1.00
Variance 1.333
Std. Deviation 1.155
Minimum 1
Maximum 5
Range 4
Interquartile Range 1
Skewness 2.488 .637
Kurtosis 7.036 1.232
Other Mean 2.50 .500
95% Confidence Interval for
Mean
Lower Bound -3.85
Upper Bound 8.85
5% Trimmed Mean .
Median 2.50
Variance .500
Std. Deviation .707
Minimum 2
Maximum 3
Range 1
Interquartile Range .
Skewness . .
Kurtosis . .
a. University buses are safe for travel is constant when Occupation of responder = Faculty. It has been omitted.
b. University buses are safe for travel is constant when Occupation of responder = 6. It has been omitted.
Figure 1.1.3
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Figure 1.1.4
Occupation of responder * University buses are safe for travel Cross tabulation
Count
University buses are safe for travel
TotalStrongly Agree Agree Neutral Disagree Strongly Disagree
Occupation of responder Student 49 60 11 8 4 1
Staff 7 4 0 0 1
Faculty 0 0 1 0 0
Other 0 1 1 0 0
6 0 0 0 0 1
Total 56 65 13 8 6 1
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Figure 1.1.5
Variable 2:
Figure 1.2.1
ANOVA
I'm very satisfy with my arrangements of transportations
Sum of Squares df Mean Square F Sig.
Between Groups 13.832 4 3.458 2.413 .052
Within Groups 203.487 142 1.433
Total 217.320 146
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Figure 1.2.2
Descriptivesa,b
Occupation of responder Statistic Std. Error
I'm very satisfy with my
arrangements of transportations
Student Mean 2.44 .105
95% Confidence Interval for
Mean
Lower Bound 2.23
Upper Bound 2.65
5% Trimmed Mean 2.38
Median 2.00
Variance 1.449
Std. Deviation 1.204
Minimum 1
Maximum 5
Range 4
Interquartile Range 1
Skewness .647 .212
Kurtosis -.324 .420
Staff Mean 1.67 .284
95% Confidence Interval for
Mean
Lower Bound 1.04
Upper Bound 2.29
5% Trimmed Mean 1.57
Median 1.00
Variance .970
Std. Deviation .985
Minimum 1
Maximum 4
Range 3
Interquartile Range 1
Skewness 1.498 .637
Kurtosis 1.702 1.232
Other Mean 2.50 1.500
95% Confidence Interval for Lower Bound -16.56
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Mean Upper Bound 21.56
5% Trimmed Mean .
Median 2.50
Variance 4.500
Std. Deviation 2.121
Minimum 1
Maximum 4
Range 3
Interquartile Range .
Skewness . .
Kurtosis . .
a. I'm very satisfy with my arrangements of transportations is constant when Occupation of responder = Faculty. It has been omitted.
b. I'm very satisfy with my arrangements of transportations is constant when Occupation of responder = 6. It has been omitted.
Figure 1.2.3
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Figure 1.2.4
Occupation of responder * I'm very satisfy with my arrangements of transportations Cross tabulation
Count
I'm very satisfy with my arrangements of transportations
TotalStrongly Agree Agree Neutral Disagree Strongly Disagree
Occupation of responder Student 32 43 34 10 12 1
Staff 7 3 1 1 0
Faculty 0 0 1 0 0
Other 1 0 0 1 0
6 0 0 0 0 1
Total 40 46 36 12 13 1
Figure 1.2.5
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Appendix 2Figure 2.a
Where do you live while attending school?
Frequency Percent Valid Percent Cumulative Perc
Valid On campus hostel 31 20.8 21.1
Off campus hostel 20 13.4 13.6
Surroundings(within 5km) 10 6.7 6.8
Own Home 80 53.7 54.4
Other 6 4.0 4.1
Total 147 98.7 100.0
Missing System 2 1.3
Total 149 100.0
Figure 2.b
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Variable 1
Figure 2.1.1
ANOVA
University buses are safe for trave
Sum of Squares df Mean Square F Sig.
Between Groups 9.482 4 2.371 2.482 .04
Within Groups 134.689 141 .955
Total 144.171 145
Figure 2.1.2
Explore table
Descriptives
Where do you live while attending school? Statistic Std. Error
University buses are safe for
trave
On campus hostel Mean 2.03 .205
95% Confidence Interval for
Mean
Lower Bound 1.61
Upper Bound 2.45
5% Trimmed Mean 1.92
Median 2.00
Variance 1.299
Std. Deviation 1.140
Minimum 1
Maximum 5
Range 4
Interquartile Range 1
Skewness 1.377 .421
Kurtosis 1.487 .821
Off campus hostel Mean 1.63 .175
95% Confidence Interval for
Mean
Lower Bound 1.26
Upper Bound 2.00
5% Trimmed Mean 1.54
Median 2.00
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Variance .579
Std. Deviation .761
Minimum 1
Maximum 4
Range 3
Interquartile Range 1
Skewness 1.616 .524
Kurtosis 4.083 1.014
Surroundings(within 5km) Mean 1.70 .300
95% Confidence Interval for
Mean
Lower Bound 1.02
Upper Bound 2.38
5% Trimmed Mean 1.67
Median 1.00
Variance .900
Std. Deviation .949
Minimum 1
Maximum 3
Range 2
Interquartile Range 2
Skewness .742 .687
Kurtosis -1.640 1.334
Own Home Mean 1.90 .103
95% Confidence Interval for
Mean
Lower Bound 1.69
Upper Bound 2.11
5% Trimmed Mean 1.81
Median 2.00
Variance .851
Std. Deviation .922
Minimum 1
Maximum 5
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Range 4
Interquartile Range 1
Skewness 1.394 .269
Kurtosis 2.350 .532
Other Mean 3.00 .577
95% Confidence Interval for
Mean
Lower Bound 1.52
Upper Bound 4.48
5% Trimmed Mean 3.00
Median 3.00
Variance 2.000
Std. Deviation 1.414
Minimum 1
Maximum 5
Range 4
Interquartile Range 3
Skewness .000 .845
Kurtosis -.300 1.741
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Figure 2.1.3
Figure 2.1.4
Where do you live while attending school? * University buses are safe for travel Cross tabulation
Count
University buses are safe for trave
TotalStrongly Agree Agree Neutral Disagree
Strongly
Disagree
Where do you live while
attending school?
On campus hostel 11 14 2 2 2 3
Off campus hostel 9 9 0 1 0 1
Surroundings(within 5km) 6 1 3 0 0 1
Own Home 28 40 6 4 2 8
Other 1 1 2 1 1
Total 55 65 13 8 5 14
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Figure 2.1.5
Variable 2Figure 2.2.1
ANOVA
I feel better while using private transportation for going to university
Sum of Squares df Mean Square F Sig.
Between Groups 22.442 4 5.610 3.403 .011
Within Groups 227.530 138 1.649
Total 249.972 142
Figure 2.2.2
Explore table:
Descriptives
Where do you live while attending school? Statistic Std. Error
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I feel better while using private
transportation for going to
university
On campus hostel Mean 3.63 .237
95% Confidence Interval for
Mean
Lower Bound 3.15
Upper Bound 4.12
5% Trimmed Mean 3.69
Median 4.00
Variance 1.689
Std. Deviation 1.299
Minimum 1
Maximum 5
Range 4
Interquartile Range 3
Skewness -.466 .427
Kurtosis -1.248 .833
Off campus hostel Mean 2.40 .275
95% Confidence Interval for
Mean
Lower Bound 1.82
Upper Bound 2.98
5% Trimmed Mean 2.33
Median 2.00
Variance 1.516
Std. Deviation 1.231
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .444 .512
Kurtosis -.735 .992
Surroundings(within 5km) Mean 2.50 .500
95% Confidence Interval for
Mean
Lower Bound 1.32
Upper Bound 3.68
5% Trimmed Mean 2.44
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Median 2.00
Variance 2.000
Std. Deviation 1.414
Minimum 1
Maximum 5
Range 4
Interquartile Range 3
Skewness .808 .752
Kurtosis -.229 1.481
Own Home Mean 3.24 .139
95% Confidence Interval for
Mean
Lower Bound 2.96
Upper Bound 3.52
5% Trimmed Mean 3.27
Median 3.00
Variance 1.518
Std. Deviation 1.232
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.306 .271
Kurtosis -.936 .535
Other Mean 3.33 .760
95% Confidence Interval for
Mean
Lower Bound 1.38
Upper Bound 5.29
5% Trimmed Mean 3.37
Median 4.00
Variance 3.467
Std. Deviation 1.862
Minimum 1
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Maximum 5
Range 4
Interquartile Range 4
Skewness -.723 .845
Kurtosis -1.875 1.741
Figure 2.2.3
Figure 2.2.4
Where do you live while attending school? * I feel better while using private transportation for going to university Crosstabulation
Count
I feel better while using private transportation for going to university
TotalStrongly Agree Agree Neutral Disagree
Strongly
Disagree
Where do you live while
attending school?
On campus hostel 1 8 2 9 10 30
Off campus hostel 6 5 5 3 1 20
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Surroundings(within 5km) 2 3 1 1 1 8
Own Home 8 16 16 27 12 79
Other 2 0 0 2 2 6
Total 19 32 24 42 26 143
Figure 2.2.5
Descriptives
Where do you live while attending school? Statistic Std. Error
If my pocket money or income
doubles then I will prefer
motorbike
On campus hostel Mean 3.03 .23
95% Confidence Interval for
Mean
Lower Bound 2.54
Upper Bound 3.52
5% Trimmed Mean 3.04
Median 3.00
Variance 1.766
Std. Deviation 1.329
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .120 .42
Kurtosis -1.083 .82
Off campus hostel Mean 3.05 .32
95% Confidence Interval for
Mean
Lower Bound 2.38
Upper Bound 3.72
5% Trimmed Mean 3.06
Median 3.00
Variance 1.942
Std. Deviation 1.393
Minimum 1
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Maximum 5
Range 4
Interquartile Range 2
Skewness .172 .52
Kurtosis -1.415 1.01
Surroundings(within 5km) Mean 3.33 .40
95% Confidence Interval for
Mean
Lower Bound 2.39
Upper Bound 4.27
5% Trimmed Mean 3.31
Median 3.00
Variance 1.500
Std. Deviation 1.225
Minimum 2
Maximum 5
Range 3
Interquartile Range 3
Skewness .233 .71
Kurtosis -1.556 1.40
Own Home Mean 3.91 .13
95% Confidence Interval for
Mean
Lower Bound 3.65
Upper Bound 4.17
5% Trimmed Mean 4.00
Median 4.00
Variance 1.321
Std. Deviation 1.149
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.940 .27
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Kurtosis -.006 .54
Other Mean 3.83 .60
95% Confidence Interval for
Mean
Lower Bound 2.29
Upper Bound 5.38
5% Trimmed Mean 3.93
Median 4.00
Variance 2.167
Std. Deviation 1.472
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -1.840 .84
Kurtosis 3.912 1.74
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Variable 3
Figure 2.3.1
ANOVA
If my pocket money or income doubles then I will prefer motorbike
Sum of Squares df Mean Square F Sig.
Between Groups 23.817 4 5.954 3.864 .005
Within Groups 211.112 137 1.541
Total 234.930 141
Figure 2.3.2
Explore Table
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Figure 2.3.3
Figure 2.3.4
Where do you live while attending school? * If my pocket money or income doubles then I will prefer motorbike Cross tabulat
Count
If my pocket money or income doubles then I will prefer motorbike
Strongly Agree Agree Neutral Disagree
Strongly
Disagree
Where do you live while
attending school?
On campus hostel 4 8 8 5 6
Off campus hostel 2 7 2 4 4
Surroundings(within 5km) 0 3 2 2 2
Own Home 3 9 9 27 29
Other 1 0 0 3 2
Total 10 27 21 41 43
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Appendix 3
Figure3.a
For how many days you go to university for your work or classes in a week?
Frequency Percent Valid Percent Cumulative Percent
Valid 2 Days 7 4.7 4.7 4.7
3 Days 5 3.4 3.4 8.1
4 days 51 34.2 34.2 42.3
5 Days 74 49.7 49.7 91.9
6 Days 5 3.4 3.4 95.3
7 Days 7 4.7 4.7 100.0
Total 149 100.0 100.0
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Figure3.b
Variable 1
Figure 3.1.1
ANOVA
I encourage university transportation
Sum of Squares df Mean Square F Sig.
Between Groups 21.903 5 4.381 3.065 .012
Within Groups 198.690 139 1.429
Total 220.593 144
Figure3.1.2
Explore Table
Descriptives
For how many days you go to university for your work or classes in a
week? Statistic Std. Error
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I encourage university
transportation
2 Days Mean 1.86 .143
95% Confidence Interval for
Mean
Lower Bound 1.51
Upper Bound 2.21
5% Trimmed Mean 1.90
Median 2.00
Variance .143
Std. Deviation .378
Minimum 1
Maximum 2
Range 1
Interquartile Range 0
Skewness -2.646 .794
Kurtosis 7.000 1.587
3 Days Mean 1.80 .800
95% Confidence Interval for
Mean
Lower Bound -.42
Upper Bound 4.02
5% Trimmed Mean 1.67
Median 1.00
Variance 3.200
Std. Deviation 1.789
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness 2.236 .913
Kurtosis 5.000 2.000
4 days Mean 2.08 .161
95% Confidence Interval for
Mean
Lower Bound 1.76
Upper Bound 2.40
5% Trimmed Mean 1.99
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Median 2.00
Variance 1.300
Std. Deviation 1.140
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .957 .337
Kurtosis .143 .662
5 Days Mean 2.15 .144
95% Confidence Interval for
Mean
Lower Bound 1.87
Upper Bound 2.44
5% Trimmed Mean 2.06
Median 2.00
Variance 1.476
Std. Deviation 1.215
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .924 .285
Kurtosis .014 .563
6 Days Mean 2.40 .245
95% Confidence Interval for
Mean
Lower Bound 1.72
Upper Bound 3.08
5% Trimmed Mean 2.39
Median 2.00
Variance .300
Std. Deviation .548
Minimum 2
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Maximum 3
Range 1
Interquartile Range 1
Skewness .609 .913
Kurtosis -3.333 2.000
7 Days Mean 3.86 .634
95% Confidence Interval for
Mean
Lower Bound 2.31
Upper Bound 5.41
5% Trimmed Mean 3.95
Median 5.00
Variance 2.810
Std. Deviation 1.676
Minimum 1
Maximum 5
Range 4
Interquartile Range 3
Skewness -1.177 .794
Kurtosis -.354 1.587
Figure3.1.3
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Figure3.1.4
For how many days you go to university for your work or classes in a week? * I encourage university transportation Cross
tabulation
Count
I encourage university transportation
TotalStrongly Agree Agree Neutral Disagree
Strongly
Disagree
For how many days you go to
university for your work or
classes in a week?
2 Days 1 6 0 0 0 7
3 Days 4 0 0 0 1 5
4 days 19 17 7 5 2 50
5 Days 27 21 13 5 5 71
6 Days 0 3 2 0 0 5
7 Days 1 1 0 1 4 7
Total 52 48 22 11 12 145
Figure 3.1.5
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Variable 2
Figure 3.2.1
ANOVA
Private transportation is responsible of congestion on the road
Sum of Squares df Mean Square F Sig.
Between Groups 17.232 5 3.446 2.500 .034
Within Groups 187.500 136 1.379
Total 204.732 141
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Explore Table
Figure3.2.2
Descriptives
For how many days you go to university for your work or classes in a
week? Statistic Std. Error
Private transportation is
responsible of congestion on the
road
2 Days Mean 2.50 .563
95% Confidence Interval for
Mean
Lower Bound 1.05
Upper Bound 3.95
5% Trimmed Mean 2.50
Median 2.50
Variance 1.900
Std. Deviation 1.378
Minimum 1
Maximum 4
Range 3
Interquartile Range 3
Skewness .000 .845
Kurtosis -2.299 1.741
3 Days Mean 1.60 .400
95% Confidence Interval for
Mean
Lower Bound .49
Upper Bound 2.71
5% Trimmed Mean 1.56
Median 1.00
Variance .800
Std. Deviation .894
Minimum 1
Maximum 3
Range 2
Interquartile Range 2
Skewness 1.258 .913
Kurtosis .312 2.000
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4 days Mean 2.57 .162
95% Confidence Interval for
Mean
Lower Bound 2.24
Upper Bound 2.90
5% Trimmed Mean 2.53
Median 3.00
Variance 1.292
Std. Deviation 1.137
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .038 .340
Kurtosis -.743 .668
5 Days Mean 2.86 .143
95% Confidence Interval for
Mean
Lower Bound 2.57
Upper Bound 3.14
5% Trimmed Mean 2.84
Median 3.00
Variance 1.429
Std. Deviation 1.195
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .126 .287
Kurtosis -.810 .566
6 Days Mean 2.20 .490
95% Confidence Interval for
Mean
Lower Bound .84
Upper Bound 3.56
5% Trimmed Mean 2.17
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Median 2.00
Variance 1.200
Std. Deviation 1.095
Minimum 1
Maximum 4
Range 3
Interquartile Range 2
Skewness 1.293 .913
Kurtosis 2.917 2.000
7 Days Mean 3.71 .474
95% Confidence Interval for
Mean
Lower Bound 2.55
Upper Bound 4.87
5% Trimmed Mean 3.74
Median 4.00
Variance 1.571
Std. Deviation 1.254
Minimum 2
Maximum 5
Range 3
Interquartile Range 3
Skewness -.682 .794
Kurtosis -1.099 1.587
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Figure 3.2.3
Figure 3.2.4
For how many days you go to university for your work or classes in a week? * Private transportation is responsible of congestion
on the road Cross tabulation
Count
Private transportation is responsible of congestion on the road
TotalStrongly Agree Agree Neutral
Strongly
Disagree
Strongly
Disagree
For how many days you go to
university for your work or
classes in a week?
2 Days 2 1 1 2 0 6
3 Days 3 1 1 0 0 5
4 days 12 8 20 7 2 49
5 Days 10 18 21 14 7 70
6 Days 1 3 0 1 0 5
7 Days 0 2 0 3 2 7
Total 28 33 43 27 11 142
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Figure 3.2.5
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Appendix 4
Figure 4.a
How much your monthly income or pocket money is? (In Rs.)
Frequency Percent Valid Percent Cumulative Percent
Valid 1,000-5,000 65 43.6 44.8 44.8
5,000-10,000 36 24.2 24.8 69.7
10,000-15,000 22 14.8 15.2 84.8
Above 15,000 19 12.8 13.1 97.9
5 3 2.0 2.1 100.0
Total 145 97.3 100.0
Missing System 4 2.7
Total 149 100.0
Figure 4.b
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Variable 1
Figure4.1.1
ANOVA
On private transportation I have more freedom than public transport for university
Sum of Squares df Mean Square F Sig.
Between Groups 18.759 4 4.690 2.739 .031
Within Groups 231.127 135 1.712
Total 249.886 139
Figure4.1.2
Explore table
Descriptives
How much your monthly income or pocket money is? (In Rs.) Statistic Std. Error
On private transportation I
have more freedom than
public transport for university
1,000-5,000 Mean 3.17 .173
95% Confidence Interval for
Mean
Lower Bound 2.83
Upper Bound 3.52
5% Trimmed Mean 3.19
Median 3.00
Variance 1.922
Std. Deviation 1.386
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.097 .299
Kurtosis -1.370 .590
5,000-10,000 Mean 3.06 .207
95% Confidence Interval for
Mean
Lower Bound 2.64
Upper Bound 3.48
5% Trimmed Mean 3.06
Median 3.00
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Variance 1.540
Std. Deviation 1.241
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.111 .393
Kurtosis -1.121 .768
10,000-15,000 Mean 2.26 .263
95% Confidence Interval for
Mean
Lower Bound 1.71
Upper Bound 2.82
5% Trimmed Mean 2.18
Median 2.00
Variance 1.316
Std. Deviation 1.147
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness .903 .524
Kurtosis .370 1.014
Above 15,000 Mean 3.44 .315
95% Confidence Interval for
Mean
Lower Bound 2.78
Upper Bound 4.11
5% Trimmed Mean 3.49
Median 3.50
Variance 1.791
Std. Deviation 1.338
Minimum 1
Maximum 5
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Range 4
Interquartile Range 2
Skewness -.447 .536
Kurtosis -.738 1.038
5 Mean 2.00 .577
95% Confidence Interval for
Mean
Lower Bound -.48
Upper Bound 4.48
5% Trimmed Mean .
Median 2.00
Variance 1.000
Std. Deviation 1.000
Minimum 1
Maximum 3
Range 2
Interquartile Range .
Skewness .000 1.225
Kurtosis . .
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Figure 4.1.3
Figure 4.1.4
How much your monthly income or pocket money is? (In Rs.) * On private transportation I have more freedom than public
transport for university Cross tabulation
Count
On private transportation I have more freedom than public transport for
university
TotalStrongly Agree Agree Neutral Disagree
Strongly
disagree
How much your monthly
income or pocket money
is? (In Rs.)
1,000-5,000 8 18 7 17 14 64
5,000-10,000 4 10 6 12 4 36
10,000-15,000 5 8 3 2 1 19
Above 15,000 2 2 5 4 5 18
5 1 1 1 0 0 3
Total 20 39 22 35 24 140
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Figure 4.1.5
Variable 2
Figure 4.2.1
ANOVA
I go by car for job or attending classes
Sum of Squares df Mean Square F Sig.
Between Groups 15.859 4 3.965 2.564 .041
Within Groups 211.838 137 1.546
Total 227.697 141
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Kurtosis -.667 .7
10,000-15,000 Mean 3.50 .3
95% Confidence Interval for
Mean
Lower Bound 2.86
Upper Bound 4.14
5% Trimmed Mean 3.56
Median 4.00
Variance 2.071
Std. Deviation 1.439
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.791 .4
Kurtosis -.639 .9
Above 15,000 Mean 2.83 .3
95% Confidence Interval for
Mean
Lower Bound 2.10
Upper Bound 3.56
5% Trimmed Mean 2.81
Median 3.50
Variance 2.147
Std. Deviation 1.465
Minimum 1
Maximum 5
Range 4
Interquartile Range 3
Skewness -.309 .5
Kurtosis -1.701 1.0
5 Mean 3.33 .6
95% Confidence Interval for
Mean
Lower Bound .46
Upper Bound 6.20
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5% Trimmed Mean .
Median 4.00
Variance 1.333
Std. Deviation 1.155
Minimum 2
Maximum 4
Range 2
Interquartile Range .
Skewness -1.732 1.2
Kurtosis .
Figure4.2.2
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Figure 4.2.3
How much your monthly income or pocket money is? (In Rs.) * I go by car for job or attending classes Cross tabulation
Count
I go by car for job or attending classes
TotalStrongly Agree Agree Neutral Disagree
Strongly
Disagree
How much your monthly
income or pocket money is?
(In Rs.)
1,000-5,000 1 6 16 18 23 64
5,000-10,000 3 5 5 11 11 35
10,000-15,000 4 1 3 8 6 22
Above 15,000 6 1 2 8 1 18
5 0 1 0 2 0 3
Total 14 14 26 47 41 142
Figure 4.2.4
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Appendix 5
Figure 5.a
Do you love to drive yourself?
Frequency Percent Valid Percent Cumulative Percent
Valid Yes 115 77.2 77.2 77.2
No 33 22.1 22.1
3 1 .7 .7 100.0
Total 149 100.0 100.0
Figure 2.b
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Variable 1:
Figure 5.1.1
ANOVA
I do not use car/bike because of unexpected accidents
Sum of Squares df Mean Square F Sig.
Between Groups 11.449 2 5.724 3.534 .032
Within Groups 229.999 142 1.620
Total 241.448 144
Figure 5.1.2
Explore table:
Descriptivesa
Do you love to drive yourself? Statistic Std. Error
I do not use car/bike because
of unexpected accidents
Yes Mean 3.21 .123
95% Confidence Interval for
Mean
Lower Bound 2.97
Upper Bound 3.46
5% Trimmed Mean 3.24
Median 3.00
Variance 1.722
Std. Deviation 1.312
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.209 .227
Kurtosis -1.184 .451
No Mean 2.65
95% Confidence Interval for
Mean
Lower Bound 2.24
Upper Bound 3.05
5% Trimmed Mean 2.61
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Median 3.00
Variance 1.237
Std. Deviation 1.112
Minimum 1
Maximum 5
Range 4
Interquartile Range 1
Skewness .152 .421
Kurtosis -.214 .821
a. I do not use car/bike because of unexpected accidents is constant when Do you love to drive yourself? = 3. It has been
omitted.
Figure 5.1.3
Figure 5.1.4
Do you love to drive yourself? * I do not use car/bike because of unexpected accidents Crosstabulation
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Count
I do not use car/bike because of unexpected accidents
TotalStrongly Agree Agree Neutral Disagree
Strongly
Disagree
Do you love to drive
yourself?
Yes 13 27 17 35 21 113
No 6 6 14 3 2 3
3 0 0 0 0 1 1
Total 19 33 31 38 24 145
Figure 5.1.5
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Variable 2
Figure 5.2.1
ANOVA
I prefer car if my pocket money will double
Sum of Squares df Mean Square F Sig.
Between Groups 27.918 2 13.959 7.736 .001
Within Groups 250.821 139 1.804
Total 278.739 141
Figure 5.2.2
Explore table
Descriptivesa
Do you love to drive yourself? Statistic Std. Error
I prefer car if my pocket money
will double
Yes Mean 2.45 .131
95% Confidence Interval for
Mean
Lower Bound 2.20
Upper Bound 2.71
5% Trimmed Mean 2.39
Median 2.00
Variance 1.883
Std. Deviation 1.372
Minimum 1
Maximum 5
Range 4
Interquartile Range 3
Skewness .585 .230
Kurtosis -.989 .457
No Mean 3
95% Confidence Interval for
Mean
Lower Bound 2.97
Upper Bound 3.87
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5% Trimmed Mean 3.47
Median 4.00
Variance 1.518
Std. Deviation 1.232
Minimum 1
Maximum 5
Range 4
Interquartile Range 2
Skewness -.316 .421
Kurtosis -.891 .821
a. I prefer car if my pocket money will double is constant when Do you love to drive yourself? = 3. It has been omitted.
Figure 5.2.3
Figure 5.2.4
Do you love to drive yourself? * I prefer car/bike because of rush in university buses Crosstabulation
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Count
I prefer car/bike because of rush in university buses
TotalStrongly Agree Agree neutral Disagree
Strongly
Disagree
Do you love to drive yourself? Yes 24 29 20 29 13 115
No 7 6 5 10 4
3 0 0 0 0 1 1
Total 31 35 25 39 18 148
Figure 5.2.5
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