2.2 Revising Probabilities with Bayes’ Theorem

Bayes’ Theorem is used to incorporate additional information as it is made available and help create revised or posterior probabilities from the original or prior probabilities. This means that we can take new or recent data and then revise and improve upon our old probability estimates for an event (see Figure 2.3). Let us consider the following example.

A flowchart showing that when prior probabilities and new information are reviewed with Bayes’ process, it leads to revised posterior probabilities.

Figure 2.3 Using Bayes’ Process

A cup contains two dice identical in appearance. One, however, is fair (unbiased) and the other is loaded (biased). The probability of rolling a 3 on the fair die is 1/6, or 0.166. ...

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