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the science discussion in 1990s. The discovering of statistical pattern in craniological features characteristics, different for male and female skulls, was the goal of the study. Materials and methods. The craniological collection of Azerbaijanis, parts of which scientists have been collecting from different regions of Republic of Azerbaijan since 1970, was studied. 85 skulls (male – 50, female – 35) were examined by craniological method. Standard craniometrical instruments, such as thick compasses (accuracy 1mm.), digital caliper “ProsKit” (accuracy 10 micrometers), and metal measuring tape (accuracy 1 mm.) were used to measure craniometrical indicators. In each skull, 12 parameters were measured. Results. Because of studying Azerbaijanis craniological collection it has been detected that there were some gender specificity in independent craniometrical features ratio. While pairwise comparison of some craniometrical features it was found that their proportions to each other differs a lot due to gender. So researchers determined probability of corresponding events. Taking into consideration all the data, the diagnostic ratio for indicating sex by the skull was found with the help of Wal- Goubler method based on Bayes theorem. In the end, the diagnostic model was developed for predicting sex basing on craniometrical features analysis. However, this diagnostic method did not pass verification on other craniological series, so it remains open for science discussion and comments. Conclusions.1. Craniometrical features for indicating gender dimorphisms by the skull have not been depleted. 2. Certain statistical pattern in some craniometrical features, which are claimed to predict gender in mathematic models were identified. 3. Discovered elements of gender dimorphisms need to be discussed and examined on other craniological series. |
