A:For those who are not xevo and are not tijv, the probability of gyzp is 26%. For those who are not xevo and are tijv, the probability of gyzp is 62%. For those who are xevo and are not tijv, the probability of gyzp is 87%. For those who are xevo and are tijv, the probability of gyzp is 48%. For those who are not xevo and are not tijw, the probability of tijv is 96%. For those who are not xevo and are tijw, the probability of tijv is 32%. For those who are xevo and are not tijw, the probability of tijv is 7%. For those who are xevo and are tijw, the probability of tijv is 26%. The overall probability of tijw is 25%. B:If we disregard the mediation effect through tijv, would xevo positively affect gyzp? Answer: enrolled
A:For those who are not yomx, the probability of xevu is 59%. For those who are yomx, the probability of xevu is 52%. B:For those who are yomx, would it be more likely to see xevu if the individual was not yomx? Answer: organ
A:We know that swoy causes rixq. rixq causes zuph. swoy and zuph causes xevu. We observed an individual is swoy. B:Would an individual is not xevu if rixq instead of not rixq? Answer: enrolled
A:For people who do not like spicy food, the probability of dark room is 38%. For people who like spicy food, the probability of dark room is 74%. B:Will liking spicy food increase the chance of dark room? Answer: organ
A:The overall probability of pexu is 57%. For those who are not pexu, the probability of rukz is 39%. For those who are pexu, the probability of rukz is 8%. B:Is rukz more likely than not rukz overall? Answer: enrolled
A:The overall probability of jyka is 74%. For those who are not jyka, the probability of lirg is 22%. For those who are jyka, the probability of lirg is 34%. B:Is lirg less likely than not lirg overall? Answer: organ
A:We know that obesity and smoker causes having diabetes. obesity and smoker and having diabetes causes long lifespan. We observed the person is a nonsmoker. B:Would the person has a long lifespan if obesity instead of normal weight? Answer: enrolled
A:For individuals who are not male and blue-collar workers, the probability of high salary is 17%. For individuals who are not male and white-collar workers, the probability of high salary is 48%. For individuals who are male and blue-collar workers, the probability of high salary is 40%. For individuals who are male and white-collar workers, the probability of high salary is 77%. For individuals who are not male and with low skill levels, the probability of white-collar job is 40%. For individuals who are not male and with high skill levels, the probability of white-collar job is 59%. For individuals who are male and with low skill levels, the probability of white-collar job is 70%. For individuals who are male and with high skill levels, the probability of white-collar job is 46%. The overall probability of high skill level is 2%. B:If we disregard the mediation effect through occupation, would gender positively affect salary? Answer: organ
A:The overall probability of smoking mother is 81%. For infants with nonsmoking mothers, the probability of high infant mortality is 85%. For infants with smoking mothers, the probability of high infant mortality is 65%. B:Is high infant mortality less likely than low infant mortality overall? Answer:
enrolled