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Owner: chris_boyt
Created: Dec 2, 2012
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george and chris' super awesome, wonderfully incredible student non education debt survey
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in our survey we were trying to determine the presence of non educational debt aquired by college students. the survey consisted of 7 questions, the questions were used to determine; age, student status, income, and amount of presumed debt. we felt that the economical issues, or presumed issues, of college students we directly related to the amount of non educational debt. the questions used were oresented in a neutral and unbiased format. Only a few difficulties were presented in gathering the data. we were hoping for a larger more diverse group, but the majority of respondents were in the 18-24 age group, as showed by the pie chart below;

Result 1: age Pie Chart   [Info]
Right click to copy

regardless, we felt that the survey was sufficient for our tests.we tested 45 college students, either current or previous, and we spilt them into two income groups, the no income group of 19 surveyed and the income group of 26 surveyed we started with a one proportion test to determine the amount of survey participants that have presumed debt(credit cards, morgarge, auto loan, etc) we claimed that less than half of college students have non educational debt. we tested at the .05 level of significance. the data and chart below shows our findings;

nullHypothesis test results:
Outcomes in : Q2 Do you have...
Success : 24
p : proportion of successes
H0 : p = 0.5
HA : p < 0.5

Variable Count Total Sample Prop. Std. Err. Z-Stat P-value
Q2 Do you have... 0 44 0 0.07537784 -6.6332498 <0.0001

 

 

Result 2: Pie Chart for debt   [Info]
Right click to copy

in this instance we rejected ho, there was sufficient data to suggest that less than half of college students have non educational debt.

we also did a two proportion test. in the two proportion test we claimed that the people with no income would have more presumed non educational debt. we tested this at the .05 level of significance, the data below shows our findings;

Result 3: Two sample Proportion with summary for income versus no income   [Info]
Hypothesis test results:
p1 : proportion of successes for population 1
p2 : proportion of successes for population 2
p1 - p2 : difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 < 0
Difference Count1 Total1 Count2 Total2 Sample Diff. Std. Err. Z-Stat P-value
p1 - p2 19 45 26 45 -0.15555556 0.10540926 -1.4757296 0.07

again we failed to reject ho, there was insufficient data to suggest that college students in the no income bracket have more presumed non education debt than the students with a monthly income.

in order to determine if the amount of debt was dependent on the amount of income we ran an independence test, we claimed that they are independent of one another. the data set below shows our findings;

Result 4: Contingency Table with summary for income   [Info]
Contingency table results:
Rows: income
Columns: None
Cell format
Count
Expected count

car home card more than one none Total
none 0
0.8182
0
0.4091
6
4.909
11
8.591
1
3.273
18
some income 2
1.182
1
0.5909
6
7.091
10
12.41
7
4.727
26
Total 2 1 12 21 8 44


Chi-Square test:
Statistic DF Value P-value
Chi-square 4 6.301384 0.1777

in conclusion, it was determined that the non educational debt was/is dependent on income level, and that we can not prove that lower income brackets have more debt than upper income brackets. we do have strong evidence to suggest that less than half of college students have non-educational debt. we, based off the data, conclude that there is a link between presumed economical issues and the amount of non-educational debt aquired during college.

 

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=28605">george and chris' super awesome, wonderfully incredible student non education debt survey</A>

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