ABSTRACT
Probability is one of the most important concepts in modern science. It is
interesting and frustrating to know that there are two different notions of
probability, frequentist and Bayesian. However, I will illustrate (Section 6.11)
that the difference between these two interpretations is found only on the
surface or in a calculational aspect, and is not fundamental. If the two con-
ceptions of probability are fundamentally different, how can Bayesian and
frequentist statisticians and the general public communicate with each other?
Why do they continue to use the same words for different meanings?
