Answer:
D. H0: p ≤0.36 H1: p>0.36


D. Reject H0. There is sufficient evidence to support the hypothesis that the proportion of admissions officers who visit an applying students' social networking page has increased in the past year
Explanation:
To solve this problem, we run a hypothesis test about the population proportion.

The appropriate hypothesis system for this situation is:


Since, the calculated statistic
is greater than critical
, the null hypothesis should be rejected. There is enough statistical evidence to state that the proportion of admissions officers who visit an applying students' social networking page has increased in the past year.