fix: update stddev to be sample and top snr to be sorted reverse

models.py

@@ -10,17 +10,24 @@ class DivisionTeam:
 class Division:
     name: str
     teams: list[DivisionTeam]
-    
+
     def strength(self) -> float:
         return numpy.average([team.district_points for team in self.teams]) # type: ignore
-    
+
     @staticmethod
     def __snr(point_list: list[int]) -> float:
-        return 10 * numpy.log10(numpy.average(point_list)**2 / numpy.std(point_list)**2)  # type: ignore
-
+        return 10 * numpy.log10(numpy.average(point_list) ** 2 / numpy.std(point_list, ddof=1) ** 2)  # type: ignore
+
+    def stddev(self) -> float:
+        return numpy.std([team.district_points for team in self.teams], ddof=1)
+
+    def avg(self) -> float:
+        return numpy.average([team.district_points for team in self.teams])
+
     def snr(self) -> float:
         return Division.__snr([team.district_points for team in self.teams])
-    
+
     def top_snr(self) -> float:
         '''Calculates the signal-to-noise ratio of the top 25% of teams'''
-        return Division.__snr([team.district_points for team in sorted(self.teams, key=lambda t: t.district_points)[:len(self.teams)//4]])
+        points = [team.district_points for team in sorted(self.teams, key=lambda t: t.district_points, reverse=True)[:len(self.teams)//4]]
+        return Division.__snr(points)