The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.

The p-value of 0.0062 indicates that the probability of observing a result as extreme as, or more extreme than, the one obtained is 0.62% under the null hypothesis. Since the p-value is less than 0.01 (1%), we conclude that the observed difference is statistically significant at the 1% level. This suggests that there is strong evidence against the null hypothesis, and it can be rejected in favor of the alternative hypothesis.

To summarize:

1. P-value: 0.0062
2. Significance Level: 0.01 (1%)
3. Conclusion: The observed difference is statistically significant at the 1% level.

Thus, we can infer that the observed result is unlikely to have occurred by chance alone under the null hypothesis.