Final answer:
The p-value of 0.02 suggests that we should reject the null hypothesis.
Step-by-step explanation:
The p-value is a measure of the strength of evidence against the null hypothesis. In this case, the p-value of 0.02 suggests that there is a 2% chance of observing the data if the null hypothesis is true.
Based on conventional significance levels, a p-value of 0.02 is typically considered statistically significant, which means that we have sufficient evidence to reject the null hypothesis. Therefore, in this case, the null hypothesis should be rejected.