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Wouldn’t the total number affect accuracy of the rate? I think one chart in the article showed something like 700 proposals for low income areas and 100-200 proposals for high income areas. As N approaches zero, the rate of resistance or cancellation is a lot more sensitive to smaller numbers of events.
Looks like the total n c1,500 was for all known projects in the dataset.
The quartiles were determined from within areas with known projects.
So the Q4 range ( $133-250k median household), represents the 25% projects in the richest areas of areas that had projects in them.
Hence n is 365/366 “projects” in each each group.
If there are tracts with median hh incomes way above that, but no projects, then “resistance” rate is unknown or even undefined.
Wouldn’t the total number affect accuracy of the rate? I think one chart in the article showed something like 700 proposals for low income areas and 100-200 proposals for high income areas. As N approaches zero, the rate of resistance or cancellation is a lot more sensitive to smaller numbers of events.
Looks like the total n c1,500 was for all known projects in the dataset. The quartiles were determined from within areas with known projects.
So the Q4 range ( $133-250k median household), represents the 25% projects in the richest areas of areas that had projects in them. Hence n is 365/366 “projects” in each each group.
If there are tracts with median hh incomes way above that, but no projects, then “resistance” rate is unknown or even undefined.