The course is theoretical and practical, belongs to the area of social sciences, and provides the student with the necessary tools to perform data analysis and enable decision-making under conditions of uncertainty, considering estimation errors when making their generalizations. Its purpose is to provide students with statistical methods and techniques so that, based on a sample, they can make decisions about scientific and educational research in the context of a Christian worldview. Discussion topics are probability distributions, standardized tests, alternative ways of reporting test scores. Parameter estimation, probability sampling, parametric hypothesis tests, including t-test, analysis of variance (ANOVA-one, two and three-factor classification). Validity and reliability. Nonparametric test that includes chi-square and categorical data. Association between variables measured at the interval ratio level: simple and multiple correlation and regression analysis, the significance of the correlation ratios. The course is applied in the evaluation of academic performance and applications of elements of statistics in school situations. For the application of this course, a project must be designed in which students will choose a topic, collect data, analyze, and interpret the results. Statistical software such as SPSS Vs 25 and Excel will be used in all statistical analyzes.
- Teacher: Rosa Padilla