Interval estimates

Suppose Rebekah's posterior density for P is a beta curve with shape parameters 24.13 and 7.67.

To find a 90% Bayesian probability interval, you can use the beta quantile function qbeta() where the inputs are the probabilities 0.05 and 0.95.

Then you can use the beta_interval() function to plot the interval with some helpful annotations:

qbeta(c(0.05, 0.95), 24.13, 7.67)
beta_interval(0.90, c(24.13, 7.67))

Suppose Harry also wants to find a probability interval for P; his beliefs about the proportion P are described by a beta curve with parameters 19 and 7.

Store the shape parameters of Harry's beta curve in a vector ab.
Use the function qbeta() to construct a 90% interval.
Use the beta_interval() function to visualize this probability interval.

Take Hint (-30 XP)

Exercise

Interval estimates

Instructions