Bayes factor calculator: BF10 and BF01
P(data | H1) = the probability of getting the data, given that the   alternative   hypothesis is true
P(data | H0) = the probability of getting the data, given that the   null   hypothesis is true
Prior-posterior plots and Bayes factors
1. Using the menu below, select several different Bayes factors (BF10), and note how the curve changes.
2. What does a BF10 of 1 mean? Why does the curve fall on the diagonal when the Bayes factor is 1?
3. What does a BF10 of 10 mean? Why does the curve bend above the diagonal when the Bayes factor is 10?
4. For a BF10 of 4, the posterior is .80 when the prior = .50. Why? (Hint: 1/1 odds = probability of 1/2 or .50).
5. For a BF10 of 4, what is the posterior when the prior = .20? (Hint: 1/4 odds = probability of 1/5 or .20).
6. Why does the curve drop below the diagonal when BF10 = .50?
7. Why does the posterior always equal the prior when the prior is 0 or 1?