A:For individuals who have not visited England and blue-collar workers, the probability of high salary is 45%. For individuals who have not visited England and white-collar workers, the probability of high salary is 88%. For individuals who have visited England and blue-collar workers, the probability of high salary is 51%. For individuals who have visited England and white-collar workers, the probability of high salary is 77%. For individuals who have not visited England and with low skill levels, the probability of white-collar job is 32%. For individuals who have not visited England and with high skill levels, the probability of white-collar job is 43%. For individuals who have visited England and with low skill levels, the probability of white-collar job is 80%. For individuals who have visited England and with high skill levels, the probability of white-collar job is 73%. The overall probability of high skill level is 8%. B:Does having visited England positively affect salary through occupation? Answer: derek
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: payday
A:The overall probability of smoking is 5%. For nonsmokers, the probability of college admission is 79%. For smokers, the probability of college admission is 48%. B:Is college admission less likely than college rejection overall? Answer: payday
A:For patients who have small kidney stones and not receiving treatment, the probability of recovery is 93%. For patients who have small kidney stones and receiving treatment, the probability of recovery is 85%. For patients who have large kidney stones and not receiving treatment, the probability of recovery is 23%. For patients who have large kidney stones and receiving treatment, the probability of recovery is 6%. The overall probability of large kidney stone is 50%. B:For patients receiving treatment, would it be more likely to see recovery if the patient had received no treatment? Answer: derek
A:For those who are not yomx, the probability of xevu is 21%. For those who are yomx, the probability of xevu is 44%. B:For those who are yomx, would it be less likely to see xevu if the individual was not yomx? Answer: derek
A:For those who are not yupt, the probability of muvq is 77%. For those who are yupt, the probability of muvq is 77%. B:Does yupt negatively affect muvq through zupj? Answer: payday
A:For individuals who are not male, the probability of freckles is 26%. For individuals who are male, the probability of freckles is 64%. B:For individuals who are male, would it be more likely to see freckles if the individual had not been male? Answer: payday
A:The overall probability of rainy season is 13%. The probability of dry season and wet ground is 26%. The probability of rainy season and wet ground is 5%. B:Is the chance of wet ground larger when observing rainy season? Answer: derek
A:For individuals who do not like spicy food and blue-collar workers, the probability of high salary is 44%. For individuals who do not like spicy food and white-collar workers, the probability of high salary is 19%. For individuals who like spicy food and blue-collar workers, the probability of high salary is 40%. For individuals who like spicy food and white-collar workers, the probability of high salary is 16%. For individuals who do not like spicy food and with low skill levels, the probability of white-collar job is 64%. For individuals who do not like spicy food and with high skill levels, the probability of white-collar job is 29%. For individuals who like spicy food and with low skill levels, the probability of white-collar job is 63%. For individuals who like spicy food and with high skill levels, the probability of white-collar job is 30%. The overall probability of high skill level is 92%. B:Does liking spicy food negatively affect salary through occupation? Answer:
payday