*2.10. Statistical Analysis*

The Kolmogorov–Smirnov test was applied to verify normality of aluminum concentrations in the mammary gland tissues; when these assumptions were not met, the data were analyzed using the Kruskal–Wallis test. Data for the variables that fulfilled the normality assumptions were assessed using one-way analysis of variance using the General Linear Model procedure (GLM ANOVA), where the experimental treatments was the main e ffect. Regarding the number of MNs, only counts obtained for cells with a single MN were used because no records were available for cells with ≥2 MNs. MN and genotoxicity data were analyzed using GLM ANOVA for a complete block random design. The model included the fixed e ffects of treatments and sampling times (blocks). Any di fferences observed between the means were analyzed using the Tukey–Kramer multiple comparison test. Statistical significance was considered at a 0.05 probability for type I error (*p* < 0.05). All data were processed using the NCSS statistical package, version 2007 (Kaysville, UT, USA) The research project was approved by the Commission of Bioethics in Research of the University of Sonora, ex o fficio CBI-UNISON 1/2015 (Approval date: 9 February 2015).
