Answer:
A) The decision is to reject the null hypothesis. The conclusion is that there is enough evidence to support the claim.
Explanation:
In this case, the sample proportion was 0.39 and the P-value 0.03. The significance level is 0.05. For us to take a decision, we need to compare the P-value with the significance level.
Since the P-value is less than the significance level, we reject the null hypotesis and conclude that there is enough evidence to support the claim.
In this case, a P-value of 0.03 means that there is a 3% chance of a sample proportion being 0.39 when the true population proportion is 0.35. Since the chance is so low, we conclude that there is enough evidence to reject the hypothesis that the population proportion is 0.35 and we adopt the alternative hypothesis, which claims that the population proportion is greater than 0.35.