A:The overall probability of zuph is 75%. For those who are not zuph, the probability of glimx is 9%. For those who are zuph, the probability of glimx is 81%. B:Is glimx more likely than not glimx overall? Answer: forest
A:We know that yupt causes not zupj. yupt or zupj causes muvq. B:Would an individual is not muvq if yupt instead of not yupt? Answer: goto
A:Method 1: We look directly at how ability to speak english correlates with talent in general. Method 2: We look at this correlation case by case according to fame. B:To understand how ability to speak english affects talent, is it more correct to use the Method 1 than Method 2? Answer: forest
A:The overall probability of pexu is 75%. The probability of not pexu and rukz is 11%. The probability of pexu and rukz is 43%. B:Is the chance of rukz smaller when observing pexu? Answer: goto
A:We know that confounder active or assignment of drug treatment causes taking of all assigned drugs. confounder active or taking of all assigned drugs causes low cholesterol. We observed the patient is assigned the treatment and confounder inactive. B:Would the patient has high cholesterol if not taking of any assigned drugs instead of taking of all assigned drugs? Answer: forest
A:The overall probability of jyka is 4%. For those who are not jyka, the probability of lirg is 33%. For those who are jyka, the probability of lirg is 77%. B:Is lirg more likely than not lirg overall? Answer: goto
A:For infants with nonsmoking mothers and low infant birth weight, the probability of high infant mortality is 61%. For infants with nonsmoking mothers and normal infant birth weight, the probability of high infant mortality is 89%. For infants with smoking mothers and low infant birth weight, the probability of high infant mortality is 24%. For infants with smoking mothers and normal infant birth weight, the probability of high infant mortality is 59%. For infants with nonsmoking mothers and with poor health, the probability of normal infant birth weight is 67%. For infants with nonsmoking mothers and with good health, the probability of normal infant birth weight is 31%. For infants with smoking mothers and with poor health, the probability of normal infant birth weight is 96%. For infants with smoking mothers and with good health, the probability of normal infant birth weight is 57%. The overall probability of good health is 13%. B:If we disregard the mediation effect through infant's birth weight, would maternal smoking status negatively affect infant mortality? Answer: forest
A:For those who are not jyka, the probability of lirg is 1%. For those who are jyka, the probability of lirg is 29%. B:For those who are jyka, would it be more likely to see lirg if the individual was not jyka? Answer: goto
A:For infants with nonsmoking mothers, the probability of high infant mortality is 61%. For infants with smoking mothers, the probability of high infant mortality is 32%. B:For infants with smoking mothers, would it be less likely to see high infant mortality if the infant had a nonsmoking mother? Answer:
goto