This software was used to simulate a population under the given parameters and how changing those parameters to mimic evolutionary forces changes the genotype and allele frequencies of the population. For stabilizing selection the fitness of the red (RR) and white (rr) genotypes were lowed to .5 while the fitness of pink (Rr) was kept at 1. For positive assortment the assortment level was raised from zero to .5. For genetic drift the population was lowered from 500 to 100. These parameters were combined for each scenario where more than one evolutionary force was used. The chi-square analysis was used to determine if the differences between the observed and expected frequencies could be attributed to random
This software was used to simulate a population under the given parameters and how changing those parameters to mimic evolutionary forces changes the genotype and allele frequencies of the population. For stabilizing selection the fitness of the red (RR) and white (rr) genotypes were lowed to .5 while the fitness of pink (Rr) was kept at 1. For positive assortment the assortment level was raised from zero to .5. For genetic drift the population was lowered from 500 to 100. These parameters were combined for each scenario where more than one evolutionary force was used. The chi-square analysis was used to determine if the differences between the observed and expected frequencies could be attributed to random