What can you say when a test yields statistically significant results, but cost exceeds benefit?

When a test yields statistically significant results, it means that the findings have a high likelihood of being true and not due to random chance. However, when the cost of implementing the changes suggested by those results exceeds the benefits derived from them, it indicates a gap between statistical significance and practical application.

Choosing to say that the result is statistically significant, but not practical acknowledges the importance of the statistical finding while also recognizing that just because something is statistically valid does not mean it is economically or operationally viable. In the context of decision-making, it's crucial to evaluate not only the validity of the data but also its applicability in real-world situations.

This assessment helps guide stakeholders to focus on outcomes that are not only backed by data but also provide a positive return on investment or operational effectiveness. By clearly acknowledging the practicality of implementing the statistically significant results, one can make informed decisions that align with both the data and the organization’s strategic goals.