A:For individuals who are not male, the probability of being allergic to peanuts is 43%. For individuals who are male, the probability of being allergic to peanuts is 47%. B:For individuals who are male, would it be more likely to see being allergic to peanuts if the individual had not been male? Answer: eventually
A:The overall probability of yomx is 5%. The probability of not yomx and xevu is 35%. The probability of yomx and xevu is 1%. B:Is the chance of xevu smaller when observing yomx? Answer: used
A:Method 1: We look directly at how jyka correlates with kwox in general. Method 2: We look at this correlation case by case according to yupt. B:To understand how jyka affects kwox, is it more correct to use the Method 1 than Method 2? Answer: used
A:For those who are not pexu, the probability of rukz is 37%. For those who are pexu, the probability of rukz is 28%. B:Will pexu decrease the chance of rukz? Answer: used
A:We know that jyka causes not zuph. jyka and zuph causes glimx. We observed an individual is jyka. B:Would an individual is glimx if not zuph instead of zuph? Answer: eventually
A:For those who are not zuph, the probability of glimx is 19%. For those who are zuph, the probability of glimx is 42%. B:Will zuph decrease the chance of glimx? Answer: eventually
A:For those who are jyka, the correlation between zuph and glimx is -0.45. B:If we look at those who are jyka, does it mean that zuph affects glimx? Answer: eventually
A:We know that CEO's decision to fire the employee causes not having visited England and director signing the termination letter. having visited England or director signing the termination letter causes employee being fired. We observed the CEO decides to retain the employee. B:Would the employee is fired if not having visited England instead of having visited England? Answer: used
A:We know that wibl causes zuph and vubr. zuph and vubr causes uvzi. We observed an individual is wibl. B:Would an individual is not uvzi if not zuph instead of zuph? Answer:
used