Based on the statistical analysis, the most appropriate conclusion can be drawn by considering the level of statistical significance. If the p-value is less than the significance level, then the results are considered statistically significant, indicating that the observed differences are unlikely to have occurred by chance. This supports the rejection of the null hypothesis and provides evidence for the alternative hypothesis. However, if the p-value is greater than the significance level, the differences are not statistically significant, and the null hypothesis cannot be rejected. In such cases, the conclusion should be drawn with caution, recognizing that the results may not be reliable or generalizable.
