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 1824 age group, as showed by the pie chart below;

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
H_{0} : p = 0.5
H_{A} : p < 0.5
Variable  Count  Total  Sample Prop.  Std. Err.  ZStat  Pvalue 
Q2 Do you have...  0  44  0  0.07537784  6.6332498  <0.0001 

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;
Hypothesis test results:
p_{1} : proportion of successes for population 1 p_{2} : proportion of successes for population 2 p_{1}  p_{2} : difference in proportions H_{0} : p_{1}  p_{2} = 0 H_{A} : p_{1}  p_{2} < 0

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;
Contingency table results:
Rows: income Columns: None
ChiSquare test:

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 noneducational debt. we, based off the data, conclude that there is a link between presumed economical issues and the amount of noneducational debt aquired during college.
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