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The bolded variables on the component contribute greatest to the sample variation. For each sex statistically significant mea- surements (p < 0.05) were assessed using the Kruskall-Wallis’s test between all samples (Males: Longxian, Qi Li Cun, Anyang and Hainan; Females: Longxian, Qi Li Cun and Hainan), these are denoted with an *.  Principal components analysis results for cranial measurements between Longxian, Qi Li Cun, Anyang, and Hainan.

Table 4 The bolded variables on the component contribute greatest to the sample variation. For each sex statistically significant mea- surements (p < 0.05) were assessed using the Kruskall-Wallis’s test between all samples (Males: Longxian, Qi Li Cun, Anyang and Hainan; Females: Longxian, Qi Li Cun and Hainan), these are denoted with an *. Principal components analysis results for cranial measurements between Longxian, Qi Li Cun, Anyang, and Hainan.