According to the Dean of STEM (Science, Technology, Engineer…

According to the Dean of STEM (Science, Technology, Engineering, and Mathematics), throughout the test/exam you must show your Workspace area (face, hands, flat surface, and computer screen).   Please be honest, I will check each video:  In the Webcam view, do you see your face, hands, flat surface, and computer screen?  If not, please make sure you show your Workspace view.  

Our research group has recently discovered massive colonies…

Our research group has recently discovered massive colonies of Colombian Long-Eared Rats, a close but distinct relative to the Panamanian Long-Eared Rats you are used to working with. You gather thousands of rats and place them under observation. You are able to reliably gather the following relationships and statistics that have resulted in the Bayes net below: Colombian Long-Eared Rat colonies either form burrows underground or nests up in the tree canopy. Because of the genetic makeup of the different colonies of the rats, rats from Burrowing colonies tend to have greater numbers of toes on their back feet. The rats can be carnivorous depending on the type of food easily accessible near their nests. The rates of rats having mates is not affected by whether or not the rat burrows. Of the rats that are carnivorous, 20% of the ones with 4 toes have a mate, 60% of the ones with 5 toes have a mate, and 80% of the ones with 6 toes have a mate. Of the rats that are NOT carnivorous, 80% of the ones with 4 toes have a mate, 40% of the ones with 5 toes have a mate, and 20% of the ones with 6 toes have a mate. (To be clear, the Instructional Team has invented this rat and all of its traits.)   Provide the Conditional Probability Table for the Has Mate (M) Node based on the described situation.   

The following graph models daily consumption of regular cust…

The following graph models daily consumption of regular customers in a temporal fashion. If a customer drinks coffee today, he/she will drink coffee again tomorrow with some probability. If he/she skips coffee today, he/she will skip it again tomorrow with some probability. Mona did not drink coffee today. What is the likelihood of her drinking coffee the day after tomorrow?