MBA 611 Week 4 Share -- Entropy and You
So, what is your definition of uncertainty? Let's consider a binary event about most anything we might have experienced. Some examples: bear or bull (about the future itself), investing or waiting (state of the markets), idling or operating (someone's car at an intersection), outage or normal (internet pranks), nasty or nice (waiting for a gift?), important or not (to or about someone or something), stressed or not (work, life), AB or AC (messages), etc. Our work this week is to forge an example of two separate ways in which the binary event might occur. One way with have a probability structure p, the other a different probability structure q, much like the Kullback-Leibler Divergence example in the reading. We will play them against one another as if they are two scenarios for the same binary event . Using our new-found tools for information entropy we will compare and contrast the two scenarios. Of course we will also interpret our findings by explaining it someone (here