Final Answer:
Null Hypothesis
(Percentage of trust in the federal government ≥ 21%).
Alternative Hypothesis
(Percentage of trust in the federal government < 21%).
Step-by-step explanation:
In hypothesis testing, the null hypothesis
assumes that there is no significant difference or change from the claimed value, while the alternative hypothesis
states the contrary, seeking to find evidence supporting a difference. In this scenario,
suggests that the percentage of trust in the federal government's handling of domestic issues is 21% or higher, while
asserts that the current percentage is less than 21%.
To perform the hypothesis test, we utilize the sample proportion
obtained from the survey (92%) and compare it to the hypothesized population proportion
stated in the null hypothesis (21%). We calculate the test statistic using the z-score formula
, where n is the sample size. Subsequently, we find the critical z-value at a significance level of 0.05 and compare it with the calculated z-score to determine if the result falls within the critical region to reject the null hypothesis.
Upon calculating the z-score and comparing it with the critical z-value, if the calculated z-score falls in the rejection region (i.e., less than the critical z-value), we reject the null hypothesis, indicating evidence that the current percentage of trust in the federal government handling domestic issues is less than 21%.