Through my current employer and role two of the KPI's that our tracked is a survey or customer feedback score and calls per hour. One question that has come from the comparison of these two KPI's is a longer client interactions or lower call per hour woul

Your proposed null and alternative hypotheses can be refined for clarity and to better align with standard statistical hypothesis testing. Typically, the null hypothesis (H0) represents a statement of no effect or no difference, while the alternative hypothesis (H1) reflects a statement of an effect or difference. Here’s how you might revise your hypotheses: **Null Hypothesis (H0):** There is no difference in average survey scores between associates with lower than national average calls per hour and associates with higher than national average calls per hour. **Alternative Hypothesis (H1):** Associates with lower than national average calls per hour have higher average survey scores than associates with higher than national average calls per hour. This formulation clearly establishes the expected relationship between calls per hour and survey scores, focusing on whether lower call volumes (with potentially longer interaction times) correspond to higher customer satisfaction scores as indicated by the survey results.