The best question that describes what we need to determine is; If we are to examine the proportion of the students at their campus who still lives at home with their parents, how likely is that proportion to be more than 36%.
Suppose we assume that p should be the proportion of the American Millennials who still live at home with their parents.
Then, we can Mathematically express the Null Hypothesis as well as the Alternative Hypothesis as:
[tex]\mathbf{H_o:p=0.36}[/tex]
[tex]\mathbf{H_a:p>0.36}[/tex]
In Statistical Analysis, if the P-value < level of significance; we would reject the H_o and accept Ha.
The sample size n=300 is to large to compute the Z-test.
The P-value from the data given = 0.006 which is less than level of significance.
However, since the P-value < level of significance; then there is sufficient evidence to reject H_o. Thus, we conclude that p > 0.36
Therefore, we can conclude that the best question that describes what we need to determine is; If we are to examine the proportion of the students at their campus who still lives at home with their parents, how likely is that proportion to be more than 36%.
Learn more about hypothesis testing here:
https://brainly.com/question/17099835?referrer=searchResults
