Proportion Bayes Rule
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LEARNING ABOUT A PROPORTION
BY BAYES RULE


  • Enter your prior distribution in the PRIOR column.  Note that it may be entered as whole numbers.
  • Enter your data (number of successes and failures) in the SUCCESSES and FAILURES boxes.
  • Push the UPDATE button to compute the posterior probabilities.
  • In the table, the Likelihood column contains the probability of observing the data for each value of p, normalized so that the largest likelihood is equal to 10000.
Prior Likelihood Product Posterior
p=0
p=.1
p=.2
p=.3
p=.4
p=.5
p=.6
p=.7
p=.8
p=.9
p=1
Successes Failures
DATA


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