Step 1 :Given that the P-value is 0.0609 and the level of significance (α) is 0.01.
Step 2 :The P-value is a measure of the probability that an observed difference could have occurred just by random chance. The lower the P-value, the greater the statistical significance of the observed difference.
Step 3 :If the P-value is less than or equal to the level of significance (α), we reject the null hypothesis. If the P-value is greater than α, we fail to reject the null hypothesis.
Step 4 :In this case, the P-value is 0.0609 and the level of significance is 0.01. We need to compare these two values to decide whether to reject or fail to reject the null hypothesis.
Step 5 :Since the P-value (0.0609) is greater than the level of significance (0.01), we fail to reject the null hypothesis.
Step 6 :\(\boxed{\text{Final Answer: Fail to reject } H_{0} \text{ because the P-value, 0.0609, is greater than } \alpha=0.01.}\)