In 7 out of 10 trials, the null hypothesis can not be accepted at the 5% interval on the basis of the Person Chi Square test. In the remaining 3 trials, the null hypothesis must be accepted.
No other discrete event probability distribution provided any conclusive results.
The selection of "High Needs" locations
From the empirical data and from the generated polynomial model plots it is apparent that a small proportion of physical locations P are attributable to a very large service volumes S .
I define "high needs" locations as locations \(P_{s>5,i}\) which are associated with more than 5 confirmed service visits per month to that location.
Accordingly, the result (count) of selection of P, where Sp >5 are shown below.