Q $3.$In the given Bayesian network, compute the following probabilities. $(1)$Compute the probability that an elderly female who is over $60$gets no cancer $($ benign $).(2)$Compute the probability that an elderly female patient with low Serum Calcium to have no cancer $($ benign $).(1)$with C $=$ cancer, A $=$ age, G $=$ gender, E $=$ exposure to toxins, S $=$smoking$,$ L $=$ lung tumor, and SC $=$serum calcium The equation I worked out is: P $($ notC $|$ A $,$G $)=[$ P $($ notc $,$A $,$B $)]/$ P $($ A $,$ G $)=[$ P $($ notC $)*$ P $($ A $|$ notC $)*$ P $($ G $|$ A $,$notC $)]/[$ P $($ A $)*$ P $($ G $|$ A $)]$I do not know where to go from here.... should SC and L be considered? Just following the graphic, I think the answer would be $0.9,$but this seems to simple $/$ wrong $(2)$P $($ notC $|$ A $>60,$G $=$ female, SC $=$ low $)=$P $($ notC $)*$ P $($ A $|$ notC $)*$ P $($ G $|$ A $,$notC $)*$ P $($ SC $|$ G $,$A $,$notC $)/$P $($ G $,$A $,$notC $).$After this I have no idea where to go $.$