A:For those who are not zuph, the probability of glimx is 29%. For those who are zuph, the probability of glimx is 64%. B:Does zuph negatively affect glimx through jyka and zory? Answer: riding
A:The overall probability of zuph is 87%. For those who are not zuph, the probability of uvzi is 71%. For those who are zuph, the probability of uvzi is 67%. B:Is uvzi more likely than not uvzi overall? Answer: confusion
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 wibl. B:To understand how zuph affects uvzi, is it more correct to use the Method 1 than Method 2? Answer: confusion
A:For students who are not encouraged and do not study hard, the probability of brown eyes is 76%. For students who are not encouraged and study hard, the probability of brown eyes is 54%. For students who are encouraged and do not study hard, the probability of brown eyes is 56%. For students who are encouraged and study hard, the probability of brown eyes is 28%. For students who are not encouraged, the probability of studying hard is 77%. For students who are encouraged, the probability of studying hard is 36%. B:If we disregard the mediation effect through studying habit, would encouragement level positively affect brown eyes? Answer: riding
A:For patients who are young and pay a low hospital bill, the probability of freckles is 10%. For patients who are young and pay a high hospital bill, the probability of freckles is 18%. For patients who are old and pay a low hospital bill, the probability of freckles is 76%. For patients who are old and pay a high hospital bill, the probability of freckles is 87%. The overall probability of old age is 42%. B:Will high hospital bill increase the chance of freckles? Answer: confusion
A:For individuals who are not male, the probability of admission acceptance is 43%. For individuals who are male, the probability of admission acceptance is 74%. B:For individuals who are male, would it be more likely to see admission acceptance if the individual had not been male? Answer: riding
A:The overall probability of jyka is 72%. For those who are not jyka, the probability of kwox is 6%. For those who are jyka, the probability of kwox is 7%. B:Is kwox more likely than not kwox overall? Answer: riding
A:Method 1: We look directly at how yomx correlates with xevu in general. Method 2: We look at this correlation case by case according to gwet. B:To understand how yomx affects xevu, is it more correct to use the Method 1 than Method 2? Answer: confusion
A:For people living far from a college, the probability of high salary is 42%. For people living close to a college, the probability of high salary is 53%. For people living far from a college, the probability of college degree or higher is 61%. For people living close to a college, the probability of college degree or higher is 34%. B:Will college degree or higher decrease the chance of high salary? Answer:
confusion