In Module Five, our exercise is building on what you have learned in prior modules. The three reference
videos for probabilistic top-down tree modeling are provided below. Watch each of these videos as they
contain important information that supports the remaining work on the problems as well as the final
Joint Probability Table and Bayes Theorem (14:31)
Conditional Prob and Joint Prob Table in Excel (6:05)
Decision Tree with Conditional Probability (22:00)
Note: Skip the section on EVSI/EVPI and efficiency; we will do diagnostics later.
Notes on the videos: You have already learned everything in the first two videos in prior modules. These
videos focus on conditional probability in action. In the third video, Professor Wu uses “marginal
probabilities.” You may recognize these as weighted probabilities when calculating total probability.
However, Wu then uses a slightly different style of calculating a joint probability matrix. While there
should be nothing in here that you have not already seen, the reason this is important is that you are
going to use these probabilities to construct a tree diagram for decision making. The main take away is
that you need to know how to operationalize the story problem into the components for the tree.
Module Five Problem: In this problem, you will work through a full decision analysis. The decision
includes both a positive branch for determining the business opportunity as well as a negative type
branch which evaluates the use of an analyst that may provide unusable results at a cost. It is a great,
simple problem to exercise your decision tree skills. Leverage the information from the videos viewed at
the beginning of this document as well as your treeplan skills from last module.
Decision Analysis Problem: You are a potential business owner in the hoomaflopper industry. You have
hired Dustin R. Mopps as your industry insider to help you decide which businesses to focus on
potentially buying. He has collected useful data from multiple sources for you. The problem with Mr.