Step 1 :Given that the P value is 0.0288 and the alpha level is 0.02.
Step 2 :The P value is the probability that the results of your test occurred at random. If it's small, it means the results are statistically significant.
Step 3 :The alpha level (a) is the threshold of significance we set for our hypothesis test.
Step 4 :If the P value is less than or equal to the alpha level, we reject the null hypothesis in favor of the alternative hypothesis. If the P value is greater than the alpha level, we do not reject the null hypothesis.
Step 5 :In this case, we need to compare the P value and the alpha level to make a decision about the hypothesis test.
Step 6 :Since the P value is greater than the alpha level, we \(\boxed{\text{Do not reject the null hypothesis}}\).