Answer:
A= the event that the selected household is prosperous
B= the event that the selected household is educated


And that represent the final answer for this case.
Step-by-step explanation:
For this case we define the following events:
A= the event that the selected household is prosperous
B= the event that the selected household is educated
We have the following probabilities given:

For this case we want to calculate the conditional probability that a household is prosperous, given that it is educated.
So this probability can be expressed as 
Using the Bayes rule we know that:

And for this case we have everything in order to replace, and we got:

And that represent the final answer for this case.