Question 6
A software company is analyzing the bug reports for their newly developed application. Some bug reports identify a critical bug in the application. To estimate the probability p of a bug report identifying a critical bug, they collect a random sample of 200 bug reports, and find that 50 are classified as critical. The company adopts a Bayesian approach with a Beta distribution as the prior for p.
Based on the above data, answer the given subquestions.
Using the prior distribution and the observed data, compute the posterior distribution of p.
Beta(50.4, 154.6)
Beta(1.4, 5.6)
Beta(5.6, 1.4)
Beta(51.4, 155.6)