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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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