A:Method 1: We look at how jyka correlates with lirg case by case according to hwax. Method 2: We look directly at how jyka correlates with lirg in general. B:To understand how jyka affects lirg, is it more correct to use the Method 1 than Method 2? Answer: existed
A:The overall probability of zuph is 3%. For those who are not zuph, the probability of glimx is 26%. For those who are zuph, the probability of glimx is 47%. B:Is glimx less likely than not glimx overall? Answer: dig
A:For areas with low cigarette tax, the probability of normal infant birth weight is 77%. For areas with high cigarette tax, the probability of normal infant birth weight is 88%. For areas with low cigarette tax, the probability of smoking mother is 61%. For areas with high cigarette tax, the probability of smoking mother is 90%. B:Will smoking mother decrease the chance of normal infant birth weight? Answer: existed
A:We know that jyka causes zuph. jyka and zuph causes glimx. We observed an individual is jyka. B:Would an individual is not glimx if not zuph instead of zuph? Answer: dig
A:Method 1: We look directly at how the captain correlates with prisoner in general. Method 2: We look at this correlation case by case according to the private. B:To understand how the captain affects prisoner, is it more correct to use the Method 1 than Method 2? Answer: dig
A:For nonsmokers and with no tar deposit, the probability of lung cancer is 82%. For nonsmokers and with high tar deposit, the probability of lung cancer is 56%. For smokers and with no tar deposit, the probability of lung cancer is 79%. For smokers and with high tar deposit, the probability of lung cancer is 53%. For nonsmokers, the probability of high tar deposit is 66%. For smokers, the probability of high tar deposit is 32%. B:For smokers, would it be more likely to see lung cancer if the person had been a nonsmoker? Answer: existed
A:For those who are not zuph, the probability of uvzi is 57%. For those who are zuph, the probability of uvzi is 26%. B:For those who are zuph, would it be more likely to see uvzi if the individual was not zuph? Answer: dig
A:For people with no pre-conditions and refusing the vaccine, the probability of recovering from the disease is 2%. For people with no pre-conditions and getting the vaccine, the probability of recovering from the disease is 33%. For people with pre-conditions and refusing the vaccine, the probability of recovering from the disease is 62%. For people with pre-conditions and getting the vaccine, the probability of recovering from the disease is 95%. The overall probability of pre-conditions is 42%. B:Will getting the vaccine decrease the chance of recovering from the disease? Answer: existed
A:For those who are not yomx, the probability of xevu is 75%. For those who are yomx, the probability of xevu is 74%. B:For those who are yomx, would it be less likely to see xevu if the individual was not yomx? Answer:
existed