Answer:
Null Hypothesis, [tex]H_0[/tex] : p = 0.50
Alternate Hypothesis, [tex]H_A[/tex] : p > 0.50
Step-by-step explanation:
We are given that Researchers conducted a study to determine whether the majority of community college students plan to vote in the next presidential election.
They surveyed 650 randomly selected community college students and found that 55% of them plan to vote.
Let p = proportion of community college students who plan to vote in the next presidential election
So, Null Hypothesis, [tex]H_0[/tex] : p = 0.50
Alternate Hypothesis, [tex]H_A[/tex] : p > 0.50
Here, null hypothesis states that the proportion of community college students who plan to vote in the next presidential election is equal to 50% or 0.50.
On the other hand, alternate hypothesis states that the proportion of community college students who plan to vote in the next presidential election is greater than 50% or 0.50 which means there is majority.
Also, the test statistics that would be used here is One-sample z proportion statistics;
T.S. = [tex]\frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }[/tex] ~ N(0,1)
where, [tex]\hat p[/tex] = sample proportion of community college students who plan to vote in the next presidential election in a sample of 650 selected = 55%
n = sample of students = 650
Therefore, the above hypothesis would be correct for testing.