Final Answer:
The correct pair of null and alternate hypotheses for testing whether the proportion of enrolled college students in a particular state differs from the national percentage is:
![\[ H_0: p = 0.855 \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/ent46nqosfpjprsndh8jrhlqeoxb600gnv.png)
![\[ H_1: p \\eq 0.855 \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/6r60tjqp2pfgiatieuuymp9i1jforb9fpg.png)
Step-by-step explanation:
The null hypothesis
posits that the proportion of undergraduates in the particular state
is equal to the national percentage (0.855), while the alternate hypothesis
suggests that the proportion differs from the national percentage. This is a two-tailed test
because we are interested in deviations in either direction from the national percentage.
In hypothesis testing, the null hypothesis represents the status quo or the assumption that there is no significant difference, while the alternate hypothesis challenges this assumption. The chosen hypotheses are appropriate for investigating whether the proportion of undergraduates in the state deviates from the national percentage.
To conduct the test, one would use a significance level (e.g., 0.05) and compare the p-value from the sample to determine whether there is enough evidence to reject the null hypothesis. The two-tailed nature of the test indicates interest in deviations in either direction, making it comprehensive for capturing any significant difference in the proportion of undergraduates in the state compared to the national percentage.
In conclusion, the hypothesis pair
and
is the appropriate setup for investigating whether the proportion of undergraduates in the particular state significantly differs from the national percentage.