abstract
- © 2020, Springer-Verlag France SAS, part of Springer Nature.A common problem when teaching statistics is that students learn the basic concepts of inferential statistics, but at the moment of applying them to real problems, they fail to apply them effectively. In this work, a group of virtual experiments with real data oriented to different areas of engineering was developed. The models allow the students to improve their level of proficiency in the application of the concepts of the p value and the contribution percentage of the variable in the observed results using virtual experimentation. The initial results show that students find statistics more useful when the teaching included exercises with virtual models.