连续概率分布的主要函数的期望值和方差的分析证明及其应用实例

Juan Villagómez-Méndez, Miguel Apolonio Herrera-Miranda, Israel Herrera-Miranda, Jorge Antonio Castillo-Medina
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引用次数: 0

摘要

目前的工作提出了数学问题的设计,这使得对概率的数学概念有足够的理解,以便对其进行正确的解释,并在以后的应用中解决概率问题。对于这项工作的发展,我们依赖于布鲁索(1997)和萨多夫斯基(2005)的教学情境理论。我们相信这种类型的新材料和教学模式具有巨大的教育潜力,因为它们鼓励对各种概率问题的分析和理解(Panizza, 2003)。在概率问题的方法、解释、解决和测试中,师生之间的准确沟通至关重要。用于此目的的软件是MATHEMATICA程序,这是一个通过友好的界面方便编写公式和计算以及构建图形的工具,促进了学生的自学工作,并鼓励学生发展分析技能和解决问题的能力。我们相信这些材料将有助于高等教育水平的概率教学过程。
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Analytical proofs of expected value and variance of the main functions of continuous probability distributions, with examples of their applications
The present work proposes the design of mathematical problems, which allow the adequate understanding of mathematical concepts of probability for its correct interpretation and later application in the resolution of probabilistic problems. For the development of this work we rely on the theory of didactic situations of Brousseau (1997) and Sadovsky (2005). We believe that new materials and didactic models of this type have great educational potential because they encourage the analysis and understanding of various probability problems (Panizza, 2003). Accurate communication between teachers and students in the approach, interpretation, resolution, and testing of probability problems is of vital importance. The software used for this purpose is the MATHEMATICA program, a tool that facilitates the writing of formulas and calculations, as well as the construction of graphs, through a friendly interface, facilitating the self-taught work of the student and encouraging the development of analysis skills and problem solving. We believe that these materials will contribute to the teaching and learning processes of probability at higher education levels.
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