imran analysis hartral
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7/30/2019 Imran Analysis Hartral
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Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Respondent's sex * At hartal,
farmers cannot send their
vegetables to Dhaka market
and as a result that are
damaged
50 100.0% 0 .0% 50 100.0%
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Respondent's sex * At hartal, farmers cannot send their vegetables to Dhaka market and as a result that are damaged
Crosstabulation
At hartal, farmers cannot send their vegetables to
Dhaka market and as a result that are damaged
Totalstrongly disagree agree strongly agree
Respondent's sex F Count 0 3 6 9
% within Respondent's sex .0% 33.3% 66.7% 100.0%
M Count 2 13 26 41
% within Respondent's sex 4.9% 31.7% 63.4% 100.0%
Total Count 2 16 32 50
% within Respondent's sex 4.0% 32.0% 64.0% 100.0%
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Education label * financial
loss50 100.0% 0 .0% 50 100.0%
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Occuparional Status * makes
person cost centered50 100.0% 0 .0% 50 100.0%
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Occuparional Status * makes person cost centered Crosstabulation
makes person cost centered
strongly disagree disagree not sure agre
Occuparional Status Banker Count 0 1 1
% within Occuparional Status .0% 33.3% 33.3% 3
Day lobor Count 0 0 0
% within Occuparional Status .0% .0% .0% 2
Doctor Count 1 0 0
% within Occuparional Status 50.0% .0% .0%
Driver Count 0 0 3
% within Occuparional Status .0% .0% 60.0% 2
Employee Count 0 1 1
% within Occuparional Status .0% 20.0% 20.0% 6
Hawker Count 0 0 1
% within Occuparional Status .0% .0% 20.0% 6
Journalist Count 1 0 0
% within Occuparional Status 50.0% .0% .0% 5
Mason Count 0 1 0
% within Occuparional Status .0% 50.0% .0% 5
Nurse Count 0 0 1
% within Occuparional Status .0% .0% 50.0% 5
Player Count 0 0 0
% within Occuparional Status .0% .0% .0% 5
Rickshaw Puller Count 0 0 2
% within Occuparional Status .0% .0% 40.0% 4
Shopkeeper Count 0 0 0
% within Occuparional Status .0% .0% .0% 8
Student Count 0 0 1
% within Occuparional Status .0% .0% 20.0% 4
Teacher Count 0 0 0
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% within Occuparional Status .0% .0% .0% 5
Total Count 2 3 10
% within Occuparional Status 4.0% 6.0% 20.0% 4
Education label * financial loss Crosstabulation
financial loss
disagree not sure agree strongly agree
Education label illiterate Count 0 0 3 2
% within Education label .0% .0% 60.0% 40.0%
literate Count 0 1 2 10
% within Education label .0% 7.7% 15.4% 76.9%
primary Count 0 0 2 4
% within Education label .0% .0% 33.3% 66.7%
secondary Count 0 0 0 2
% within Education label .0% .0% .0% 100.0%
higher secondary Count 0 0 5 8
% within Education label .0% .0% 38.5% 61.5%
others Count 1 1 2 7
% within Education label 9.1% 9.1% 18.2% 63.6%
Total Count 1 2 14 33
% within Education label 2.0% 4.0% 28.0% 66.0%
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Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Living Status * effective tool
of political party50 100.0% 0 .0% 50 100.0%
Living Status * effective tool of political party Crosstabulation
effective tool of political party
strongly
disagree disagree not sure agree
strongly
agree
Living Status slum Count4 3 0 4 5
% within Living Status 25.0% 18.8% .0% 25.0% 31.2%
Relative House Count 3 2 2 1 1
% within Living Status 33.3% 22.2% 22.2% 11.1% 11.1%
Rent House Count 2 3 1 6 1
% within Living Status 15.4% 23.1% 7.7% 46.2% 7.7%
4 Count 2 1 2 5 2
% within Living Status 16.7% 8.3% 16.7% 41.7% 16.7%
Total Count 11 9 5 16 9
% within Living Status 22.0% 18.0% 10.0% 32.0% 18.0%
Occuparional Status * makes person cost centered Crosstabulation
makes person cost centered
Total
strongly
disagree disagree not sure agree strongly agree
Banker Count .0% 1.0% 1.0% 1.0% .0% 3
% within Occuparional Status .0% 33.3% 33.3% 33.3% .0% 100
Day lobor Count .0% .0% .0% 1.0% 4.0% 5
% within Occuparional Status .0% .0% .0% 20.0% 80.0% 100
Doctor Count 1.0% .0% .0% .0% 1.0% 2
% within Occuparional Status 50.0% .0% .0% .0% 50.0% 100
Driver Count .0% .0% 3.0% 1.0% 1.0% 5
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% within Occuparional Status .0% .0% 60.0% 20.0% 20.0% 100
Employee Count .0% 1.0% 1.0% 3.0% .0% 5
% within Occuparional Status .0% 20.0% 20.0% 60.0% .0% 100
Hawker Count .0% .0% 1.0% 3.0% 1.0% 5
% within Occuparional Status .0% .0% 20.0% 60.0% 20.0% 100
Journalist Count 1.0% .0% .0% 1.0% .0% 2
% within Occuparional Status 50.0% .0% .0% 50.0% .0% 100
Mason Count .0% 1.0% .0% 1.0% .0% 2
% within Occuparional Status .0% 50.0% .0% 50.0% .0% 100
Nurse Count .0% .0% 1.0% 1.0% .0% 2
% within Occuparional Status .0% .0% 50.0% 50.0% .0% 100
Player Count .0% .0% .0% 1.0% 1.0% 2
% within Occuparional Status .0% .0% .0% 50.0% 50.0% 100
Rickshaw Puller Count .0% .0% 2.0% 2.0% 1.0% 5
% within Occuparional Status .0% .0% 40.0% 40.0% 20.0% 100
Shopkeeper Count .0% .0% .0% 4.0% 1.0% 5
% within Occuparional Status .0% .0% .0% 80.0% 20.0% 100
Student Count .0% .0% 1.0% 2.0% 2.0% 5
% within Occuparional Status .0% .0% 20.0% 40.0% 40.0% 100
Teacher Count .0% .0% .0% 1.0% 1.0% 2
% within Occuparional Status .0% .0% .0% 50.0% 50.0% 100
Total Count 2.0% 3.0% 10.0% 22.0% 13.0% 50
% within Occuparional Status 4.0% 6.0% 20.0% 44.0% 26.0% 100
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Daily Income * benned by
legislation50 100.0% 0 .0% 50 100.0%
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Daily Income * benned by legislation Crosstabulation
benned by legislation
strongly disagree disagree not sure agree strongly agree
Daily Income 1 Count 2 3 1 2 6
% within Daily Income 14.3% 21.4% 7.1% 14.3% 42.9%
2 Count 2 2 3 2 7
% within Daily Income 12.5% 12.5% 18.8% 12.5% 43.8%
3 Count 0 2 1 2 3
% within Daily Income .0% 25.0% 12.5% 25.0% 37.5%
4 Count 3 2 1 3 3
% within Daily Income 25.0% 16.7% 8.3% 25.0% 25.0%
Total Count 7 9 6 9 19
% within Daily Income 14.0% 18.0% 12.0% 18.0% 38.0%