A:Method 1: We look directly at how zuph correlates with uvzi in general. Method 2: We look at this correlation case by case according to vubr. B:To understand how zuph affects uvzi, is it more correct to use the Method 1 than Method 2? Answer: encountered
A:For infants with nonsmoking mothers and low infant birth weight, the probability of high infant mortality is 64%. For infants with nonsmoking mothers and normal infant birth weight, the probability of high infant mortality is 96%. For infants with smoking mothers and low infant birth weight, the probability of high infant mortality is 29%. For infants with smoking mothers and normal infant birth weight, the probability of high infant mortality is 61%. For infants with nonsmoking mothers and with poor health, the probability of normal infant birth weight is 50%. For infants with nonsmoking mothers and with good health, the probability of normal infant birth weight is 24%. For infants with smoking mothers and with poor health, the probability of normal infant birth weight is 76%. For infants with smoking mothers and with good health, the probability of normal infant birth weight is 46%. The overall probability of good health is 17%. B:If we disregard the mediation effect through infant's birth weight, would maternal smoking status positively affect infant mortality? Answer: encountered
A:For people not taking any medication and with low blood pressure, the probability of healthy heart is 48%. For people not taking any medication and with high blood pressure, the probability of healthy heart is 20%. For people taking medication and with low blood pressure, the probability of healthy heart is 77%. For people taking medication and with high blood pressure, the probability of healthy heart is 46%. For people not taking any medication, the probability of high blood pressure is 37%. For people taking medication, the probability of high blood pressure is 60%. B:Does medication negatively affect heart condition through blood pressure? Answer: factors
A:For those who are not jyka, the probability of kwox is 13%. For those who are jyka, the probability of kwox is 20%. B:For those who are jyka, would it be less likely to see kwox if the individual was not jyka? Answer: factors
A:The overall probability of jyka is 40%. The probability of not jyka and kwox is 22%. The probability of jyka and kwox is 7%. B:Is the chance of kwox smaller when observing jyka? Answer: factors
A:Method 1: We look directly at how Alice waking up correlates with Alice arriving to school in general. Method 2: We look at this correlation case by case according to traffic. B:To understand how Alice waking up affects Alice arriving to school, is it more correct to use the Method 1 than Method 2? Answer: factors
A:For people not using tanning salon treatments, the probability of tanned skin is 74%. For people who went to tanning salons, the probability of tanned skin is 30%. B:For people who went to tanning salons, would it be less likely to see tanned skin if the person had not had a tanning salon treatment? Answer: encountered
A:We know that large kidney stone causes receives treatment. large kidney stone or receives treatment causes thick lips. We observed the patient has a small kidney stone. B:Would the patient has thick lips if receives no treatment instead of receives treatment? Answer: encountered
A:We know that kraz causes pexu. pexu causes hwax. kraz or hwax causes rukz. We observed an individual is not kraz. B:Would an individual is rukz if not pexu instead of pexu? Answer:
encountered