A:The overall probability of jyka is 29%. The probability of not jyka and kwox is 25%. The probability of jyka and kwox is 26%. B:Is the chance of kwox larger when observing jyka? Answer: hardly
A:For those who are not xevo, the probability of gyzp is 39%. For those who are xevo, the probability of gyzp is 78%. B:Will xevo decrease the chance of gyzp? Answer: dam
A:We know that hwax causes not jyka and gyzp. jyka or gyzp causes lirg. We observed an individual is hwax. B:Would an individual is lirg if not jyka instead of jyka? Answer: dam
A:For people who do not have a brother and nonsmokers, the probability of lung cancer is 73%. For people who do not have a brother and smokers, the probability of lung cancer is 49%. For people who have a brother and nonsmokers, the probability of lung cancer is 66%. For people who have a brother and smokers, the probability of lung cancer is 43%. For people who do not have a brother and with low pollution, the probability of smoking is 83%. For people who do not have a brother and with high pollution, the probability of smoking is 55%. For people who have a brother and with low pollution, the probability of smoking is 57%. For people who have a brother and with high pollution, the probability of smoking is 29%. The overall probability of high pollution is 44%. B:If we disregard the mediation effect through smoking, would having a brother negatively affect lung cancer? Answer: hardly
A:The overall probability of taking medication is 2%. For people not taking any medication, the probability of healthy heart is 59%. For people taking medication, the probability of healthy heart is 36%. B:Is healthy heart more likely than heart problems overall? Answer: hardly
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: dam
A:For those who are not xevo, the probability of tijv is 41%. For those who are xevo, the probability of tijv is 93%. For those who are not xevo and are not tijv, the probability of gyzp is 42%. For those who are not xevo and are tijv, the probability of gyzp is 85%. For those who are xevo and are not tijv, the probability of gyzp is 48%. For those who are xevo and are tijv, the probability of gyzp is 81%. The overall probability of xevo is 30%. B:Will xevo increase the chance of gyzp? Answer: hardly
A:The overall probability of manager signing the termination letter is 23%. The probability of manager not signing the termination letter and employee being fired is 60%. The probability of manager signing the termination letter and employee being fired is 9%. B:Is the chance of employee being fired larger when observing manager signing the termination letter? Answer: dam
A:Method 1: We look at how manager correlates with foot size case by case according to director. Method 2: We look directly at how manager correlates with foot size in general. B:To understand how manager affects foot size, is it more correct to use the Method 1 than Method 2? Answer:
hardly