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is a measure of how much expected counts and observed counts deviate from each other.
By now I've checked it also for n=9 and n=10, getting the expected counts of 228 and 236 configurations respectively.
Chi-square calculations and standardized (expected) counts were used to deduce specific trends.
Just like the ZIP model, the ZINB model has two combined hurdles that generate the expected counts.
If expected counts within a category were less than 5 for more than 20% of cells, Fisher's exact test was used instead.
With 22 total offspring, the expected counts are 16.5 and 5.5, respectively.
Qualitative variables were compared using a Chi-square test or Fisher exact test if at least one of the expected counts was less than five.
Fisher exact tests were used if expected counts were <5.
These expected counts were compared to the actual values.
This statistical method relies on a geographic region's expected counts rather than on its population distribution.
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A combined chi-square test was performed as the sum over compartments of the square of the difference between observed and expected counts divided by expected count.
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