Citywide average complaint rates look stable, but neighborhood segments show large gaps. What analysis practice should the team apply before concluding performance is equitable?
Select an answer to reveal the explanation.
Short Explanation
A citywide average can hide a neighborhood on fire the way a lake average hides a hot spring. Slice the metric before declaring equity. Segmentation turns a smooth line into an honest map.
Full Explanation
Segmentation and disaggregation reveal heterogeneity that aggregate averages conceal, including inequitable complaint patterns across neighborhoods. Concluding equity from a stable citywide mean alone is analytically unsafe. Dropping high-complaint areas or substituting unrelated survey scores further masks disparity. Disaggregated views are required before equity conclusions.