BUT WHAT ABOUT THIS??

Transcribed image text: 6. Refer to the Bayesian network you built in the last assignment for the problem of opening a new restaurant facing the COVID-19 risk by adding more relevant factors. Discuss which factors in your Bayesian network can be decision factors (i.e., decision nodes) and the rest factors are random factors (i.e., chance nodes). Here, decision factors are what the decision maker (you and your client) can control and make choices; random factors are what you cannot fully control and are subject to probabilities. For example, in my initial Bayesian network, Location is most likely a decision factor since I and the client can make decision on where to open the restaurant if we are given a list of possible choices. On the other hand, all the other factors in my network are all subject to probabilities and we cannot fully control. After you identify the decision factors, revise your Bayesian network to represent the decision factors using a square shape instead of a circle similar as what follows I created the network structure using Wondershare EdrawMax. Insert your revised Bayesian network below