What is the difference between statistically significant evidence and clinically significant evidence? How would each of these findings be used to advance an evidenced-based practice project?

Statistically significant means a result is unlikely due to chance. The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn't a difference for all users. Clinical significance is the practical importance of an effect (e.g. a reduction in symptoms); whether it has a real genuine, palpable, noticeable effect on daily life. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on clinical practice.

These findings, that is, the use of clinical significance can support positive outcomes in evidence-based practice projects outcome by ensuring that the result is statistically significant. This is due to the fact that majority of statistically significant findings are normally have clinical significance. Statistical significance is important because it gives you confidence that the changes you make to the projects actually have a positive impact on your conversion rate and other metrics. A statistically significant result isn't attributed to chance and depends on two key variables: sample size and effect size.