Factorial explanation of the integration of curriculum design, professional training and job training

This article tries to give a statistical explanation that links elements of curriculum design, professional training and job training through quantitative research. An instrument was elaborated expressly containing the three axes described above, with 10 simple variables per axis, obtaining a total of 30 variables of decimal ratio measurement. For this study, a statistical analysis of Cronbach's alpha was performed for the reliability of the instrument; frequency and percentage to describe the sample and a factor analysis for the integrational explanation of the phenomenon under study.

Analysis Statistics in Practical Problems of Food Health

This study aimed at the application of dietary supplementation in elderly people and, after a period, to prepare a statistical diagnosis of before and after some dimensional information to verify the great influence of diet in these patients. In order to do so, statistical analyzes were used, which are important tools that allow us to perceive the transformations in different chronological periods. As a result, it was possible to verify the history of the patients that were being altered in the last months by the new food supplement implanted, having a statistical explanation besides the nutritional one. However, care has been taken to demonstrate how misunderstanding can hamper interpretation and originate erroneous information from work.