Final answer:
Since the p-value of 0.056 is greater than the significance level (α) of 0.05, the decision is not to reject the null hypothesis, indicating insufficient evidence to support the alternative hypothesis.
Step-by-step explanation:
When assessing whether to reject a null hypothesis H0 in a hypothesis test, you compare the calculated p-value to the predetermined significance level, often denoted as α (alpha). In this scenario, the alpha level is 0.05, and the computed p-value is 0.056.
Since the p-value is greater than alpha, the correct decision is not to reject the null hypothesis. This indicates that there is insufficient evidence at the 5 percent significance level to conclude that the alternative hypothesis Ha is true.
It is important to note that the decision in a hypothesis test is not definitive. Rather, it is based on the probability and the level of risk (alpha) that the researcher is willing to accept for making a Type I error, which is rejecting the null hypothesis when it is actually true.