Analyzing study for some of African tribes masks & use it to invent new printed and clothes designs for girls

         The research aims to benefit from a new source of design resources, which is part of the heritage of peoples, masks which represent important Significance for each people taken from, it is a  rich source for the design The student carried out the design of printing and clothing for youth clothes and a questionnaire for the proposed designs to know the opinion of specialists and was reached For the best designs proposed, which can be implemented using different printing methods, the marvelous designer 6 program  was used to create 3D designs and create a virtual environment for displaying designs.
The following results were obtained:
1-     There were statistically significant differences between the proposed designs in terms of the "success of the formulation of masks used". The calculated value (P) was 40.163, which is statistically significant at (0.01).
2-     There are statistically significant differences between the proposed designs in terms of "completion of design elements in the model", where the value of (P) calculated (21.512) which is a statistical value at the level (0.01).
3-     There are statistically significant differences between the proposed designs in terms of "the fulfillment of the foundations of design in the design of the model", where the value of (P) calculated (24.403) which is a statistical value at the level (0.01).
4-     There are statistically significant differences between the proposed designs in terms of "updating the inventive side in the design of the model", where the value of (P) calculated (28.909) which is a statistical value at the level (0.01).
5-     The second design was the most design for the study areas, where it obtained a distinguished rating with a total quality factor of (97.08%). In the first axis, it obtained a quality factor of (95.67%), While in the third and fourth axes the same coefficient of quality (96.67%) was obtained.
6-     The fourth design was the lowest design for the study axes, where it obtained a very good estimate with a total quality factor of (86.25%). In the first axis, a quality factor of (86.33%), In the second axis, a quality factor of (87%) was obtained, while in the third axis a quality factor of (85.67%) was obtained.