Final answer:
If the p-value is less than the significance level (α = 0.05), the statistical decision is to reject the null hypothesis.
Step-by-step explanation:
The null hypothesis (H0) is the assumption that there is no significant difference between the observed data and the expected data. In a two-tail hypothesis test, the p-value represents the probability of obtaining a test statistic as extreme as the one observed, assuming the null hypothesis is true. If the p-value is less than the significance level (α = 0.05), it means that the observed test statistic is unlikely to happen if the null hypothesis is true. Therefore, the statistical decision is to reject the null hypothesis.