Probability and Statistics are difficult courses to learn by the statistics students and thus
giving a challenging job for the instructors to teach. Among the many topics, most
commonly, Bayes’ theorem and its associated probabilities is one common area which
causes a lot of stir in teaching and learning. In such difficult scenarios, the instructor’s
teaching pedagogy plays a vital role to inculcate correct knowledge to the students, as
required. In this paper we have discussed probability tree diagrams and presented that
they are better off to help understand and teach Bayes’ theorem with a completeness of
process thinking. Tree diagrams methodology is presented on varying examples –simple
to difficult as a prove of its generalization and entireness in statistics learning of Bayes’
probabilities. This is an instructional article, in which an innovative pedagogy for
teaching Bayes’ theorem is discussed. We have provided a scholarly argument to justify
for considering its wider use. There is no claim that the proposed method is simpler from
presently used methods but however this is claimed that this will unleash the details of
Bayes’ probabilities which are neither taught in the class nor emphasized in the texts.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | May 1, 2021 |
Published in Issue | Year 2021 Volume: 18 Issue: 1 |