Question: A Bayesian Network that represents the relationship between accidents and weather conditions is shown below Freezing? P(Freezing) Cloudy? P(Cloudy) True 0.333 Cloudy Freezing True 0.75

A Bayesian Network that represents the relationship between accidents and weather conditions is shown below Freezing? P(Freezing) Cloudy? P(Cloudy) True 0.333 Cloudy Freezing True 0.75 Cloudy? Freezing? P(Accident=true | Cloudy, Freezing) Accident True True 0.8 True False 0.5 False True 0.6 False False 0.1 Fil the joint distribution table from the above Bayesian Network. Cloudy Freezing Accident P(Cloudy, Freezing, Accident)] True True True 3.2 True True False 0.06 True False True True False False False True True False True False False False True False False False Calculate the answers to these queries (hint: the joint distribution can be used to answer any query): What is the probability that an accident will not occur if it is known that it is Cloudy and it is Freezing? What is the probability that it is Cloudy and an Accident occurs? what is the probabil ity that an accident will occur? What is the probability that it is Cloudy if it is known that an Accident occurred

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