A:For those who are not jyka, the probability of kwox is 18%. For those who are jyka, the probability of kwox is 58%. B:For those who are jyka, would it be less likely to see kwox if the individual was not jyka? Answer: gibraltar
A:The overall probability of kwox is 2%. For those who are not kwox, the probability of kwoz is 15%. For those who are kwox, the probability of kwoz is 28%. B:Is kwoz more likely than not kwoz overall? Answer: wikipedia
A:For students who are not encouraged, the probability of brown eyes is 82%. For students who are encouraged, the probability of brown eyes is 64%. B:Will encouragement increase the chance of brown eyes? Answer: wikipedia
A:We know that jyka causes hwax and gyzp. hwax or gyzp causes lirg. B:Would an individual is lirg if not jyka instead of jyka? Answer: wikipedia
A:For those who are not xevo, the probability of gyzp is 57%. For those who are xevo, the probability of gyzp is 16%. B:For those who are xevo, would it be more likely to see gyzp if the individual was not xevo? Answer: gibraltar
A:The overall probability of yupt is 1%. For those who are not yupt, the probability of muvq is 77%. For those who are yupt, the probability of muvq is 77%. B:Is muvq more likely than not muvq overall? Answer: gibraltar
A:For those who are not pexu and are not hwax, the probability of rukz is 62%. For those who are not pexu and are hwax, the probability of rukz is 33%. For those who are pexu and are not hwax, the probability of rukz is 57%. For those who are pexu and are hwax, the probability of rukz is 89%. For those who are not pexu, the probability of hwax is 29%. For those who are pexu, the probability of hwax is 84%. B:Does pexu positively affect rukz through hwax? Answer: wikipedia
A:The overall probability of pexu is 7%. The probability of not pexu and rukz is 33%. The probability of pexu and rukz is 4%. B:Is the chance of rukz larger when observing pexu? Answer: gibraltar
A:Method 1: We look directly at how drinking coffee correlates with salary in general. Method 2: We look at this correlation case by case according to unobserved confounders. B:To understand how drinking coffee affects salary, is it more correct to use the Method 1 than Method 2? Answer:
wikipedia