There are a number of normalization algorithms. Easiest would be to just divide by the area’s population count. That gives you the relative number of bigfoot sightings or fursuits per capita, removing any skews introduced by varyin population size.
Say you have two areas:
Area 1: 100000 people, 1000 fursuits, 500 bigfoot sightings
Area 2: 1000 people, 10 fursuits, 5 bigfoot sightings
Without knowing the population size, it looks like more fursuits means more bigfoot sightings. But if we divide by the population size, we get 0.01 fursuits and 0.005 bigfoot sightings per person in both areas.
How does that work? Im not a stat person.
There are a number of normalization algorithms. Easiest would be to just divide by the area’s population count. That gives you the relative number of bigfoot sightings or fursuits per capita, removing any skews introduced by varyin population size.
Say you have two areas:
Area 1: 100000 people, 1000 fursuits, 500 bigfoot sightings Area 2: 1000 people, 10 fursuits, 5 bigfoot sightings
Without knowing the population size, it looks like more fursuits means more bigfoot sightings. But if we divide by the population size, we get 0.01 fursuits and 0.005 bigfoot sightings per person in both areas.
Hope that helps. ^^
Ah, I understand now, thank you!