Answer:
The finding is significant at α = 0.05 but not at α = 0.01.
Explanation:
We are given with the following hypothesis below;
Null Hypothesis,
: p = 0.40 {means that the population proportion is equal to 40%}
Alternate Hypothesis,
: p > 0.40 {means that the population proportion is greater than 40%}
The z-test statistics given to us is 2.25.
Now, at 0.05 level of significance, the z table gives a critical value of 1.645 for the right-tailed test.
Since the value of our test statistics is more than the critical value of z as 2.25 > 1.645, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region.
Now, at 0.01 level of significance, the z table gives a critical value of 2.33 for the right-tailed test.
Since the value of our test statistics is less than the critical value of z as 2.25 < 2.33, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.
This means that the finding is significant at α = 0.05 but not at α = 0.01.