Answer:
1) H0 : p = 0.40
H1 : p > 0.40
2) 1.88
3) 0.030
4) Reject null hypothesis H0, since pvalue, 0.0301 is less than significance level, 0.05, and find evidence that the proprtion is greater than 40%.
Explanation:
Given:
Sample size, n = 1000
p = 40% = 0.40
p' = 43% = 0.43
S.E = 0.016
Significance level = 0.05
a) The null and alternative hypotheses.
H0 : p = 0.40
H1 : p > 0.40
b) Test statistic.
Let's take the Z formula:
![Z = (p' - p)/(SE)](https://img.qammunity.org/2021/formulas/mathematics/college/zouergjfj53jw3og3yncf5gy2w48pv2vea.png)
![Z = (0.43 - 0.40)/(0.016)](https://img.qammunity.org/2021/formulas/mathematics/college/x0hddafrvzf35n9sgsg7m3stedjvw7pmdo.png)
![= (0.03)/(0.016) = 1.875](https://img.qammunity.org/2021/formulas/mathematics/college/7ew162c3cqgiysowxgr1j2h6wzfg4qru23.png)
= 1.875 ≈ 1.88
The test statistic = 1.88
3) For the P-value, we have:
P(Z ≥ 1.88) = 0.0301 ≈ 0.030
P-value = 0.030
Critical value at 0.05 significance level for a right tailed test is 1.645
Decision: Reject null hypothesis H0, if p-value is less than significance level and if test statistic Z, is greater than critical value.
4) Conclusion: Reject null hypothesis H0, since pvalue, 0.0301 is less than significance level, 0.05, and find evidence that the proprtion is greater than 40%.