Student's t test was used to evaluate significance of differences between two groups.
Analysis of variance and least significant difference were used to evaluate statistical significance of differences between groups, and a P value of <0.05 was considered statistically significant.
Data were expressed as mean ± SEM, and un-paired Student t-test were used to evaluate the significance of differences between groups, with a p<0.05 considered as significantly different.
A two tailed unpaired Student's t-test was used to evaluate the significance of differences between each data set and the corresponding control.
Pearson's chi-squared test was applied to sets of categorical data to evaluate statistical significance of differences between old settler and new immigrant households.
Student's t test (paired, two-tailed) was used to evaluate the probability of differences between samples.
A two-tailed Fisher exact test (1 degree of freedom) was then used to evaluate the significance of differences between cases and controls at each SNP.
In two-variable experiments, two-way ANOVA followed by Bonferroni's post-hoc tests were used to evaluate the significance of differences between group means.
We used the Mann Whitney test and Chi-square analysis with a 95% confidence interval to evaluate the significance of differences between selected groups.
One-way analysis of variance (ANOVA SAS Procedure ANOVA SASAS version 9.1.3) was performed for each character to evaluate the significances of differences between the gossypii group and all other species in the first and second PCAs.
