Dynamics of the teaching-learning process of the subject of bayesian decision of Statistical Inference
Keywords:
dynamics, comprehension, systematization, bayesian decision, Statistical InferenceAbstract
This paper proposes a guide for the teaching of the subject "Theory of the Bayesian Decision" of the subject Statistical Inference in the career in Bachelor in Mathematics, with the aim of perfecting the development of the teaching-learning process of this subject. It describes the different links of the dynamics of this process and suggests actions that teachers should do. For the development of the work were using methods of the theoretical level, such as analysis-synthesis, historical-logical, structural systemic, hermeneutic, modeling, and methods of the empirical level, such as survey, consultation to specialists, pedagogical test, pre-experiment and observation. With this work, the comprehension and systematization of content was considerably improved, while the students' motivation level raised.
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