What do we mean by sensitivity? Sensitivity refers to a measure of how much influence the prior of choice affects the associated posterior distribution. A general rule of thumb is, when looking at Bayes Rule, the component (either likelihood or prior) with the most extreme LOWER value will affect the posterior the most. Now, It is also true that the MORE data we have, the LESS of an…