Table 1. p values for the fit between the described distributions and the data.

Each row represent a different experiment, that was evaluated individually. The row labeled as combined experiments is the result of the fit using all the values from all experiments for each passage (where available) to increase the size of the sample. The p value represent the hypothesys that the data comes from the distribution, so low p values indicate poor agreement. For most cases the negative binomial fit poorly the data (low p values) while the generalized version perform correctly in all cases (all p values are above 0.05).

STANDARD NEGATIVE BINOMIAL:
	3	9	10	11	12	13
experiment 1	0.34					0.02
experiment 2	0.00					0.33
experiment 3	0.00					0.64
experiment 4		0.00	0.01	0.17	0.05	0.01
combined experiments	0.00	0.00	0.01	0.17	0.05	0.00
GENERALIZED NEGATIVE BINOMIAL:
	3	9	10	11	12	13
experiment 1	0.17					0.07
experiment 2	0.22					0.21
experiment 3	0.85					0.11
experiment 4		0.25	0.55	0.3	0.57	0.18
combined experiments	0.44	0.25	0.55	0.3	0.57	0.16