Answer:
A. The results were statistically significant.
C. The null hypothesis should be rejected.
Step-by-step explanation:
We are given that a national poll by the Institute for College Access and Success showed that in 69% of college graduates from public and nonprofit colleges in 2013 had student loan debt.
Let p = <em>proportion with student loan debt.
</em>
So, Null Hypothesis, : p = 69% {means that the proportion of students with graduated with student loan debt equals 69%}
Alternate Hypothesis, : p 69% {means that the proportion with student loan debt does not equal 69%}
The test statistics that would have used here was <u>One-sample z proportion</u> <u>statistics</u>;
We are given the level of significance of 0.05 and P-value of 0.039.
Since, P-value of the test statistics is less than the level of significance as 0.039 < 0.05, <u>so we have sufficient evidence that the results were statistically significant to reject our null hypothesis</u> as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.
Therefore, we conclude that the proportion with student loan debt does not equal 69%.