A:We know that confounder active and close to a college causes drinking coffee. confounder active and drinking coffee causes high salary. We observed the person lives far from a college and confounder inactive. B:Would the employee has a high salary if drinking coffee instead of not drinking coffee? Answer: laws
A:For students who are not encouraged, the probability of high exam score is 72%. For students who are encouraged, the probability of high exam score is 46%. B:Will encouragement increase the chance of high exam score? Answer: laws
A:We know that jyka causes yupt, and we know that yupt causes not kwox. B:Would an individual is not kwox if not jyka instead of jyka? Answer: laws
A:Method 1: We look directly at how drinking coffee correlates with room in general. Method 2: We look at this correlation case by case according to the candle. B:To understand how drinking coffee affects room, is it more correct to use the Method 1 than Method 2? Answer: seal
A:For those who are not rixq, the probability of xevu is 78%. For those who are rixq, the probability of xevu is 49%. B:Will rixq decrease the chance of xevu? Answer: seal
A:For those who are not jyka, the probability of lirg is 45%. For those who are jyka, the probability of lirg is 41%. B:Will jyka decrease the chance of lirg? Answer: seal
A:Method 1: We look at how having visited England correlates with salary case by case according to occupation. Method 2: We look directly at how having visited England correlates with salary in general. B:To understand how having visited England affects salary, is it more correct to use the Method 1 than Method 2? Answer: laws
A:For those who are not xevo and are not tijv, the probability of gyzp is 56%. For those who are not xevo and are tijv, the probability of gyzp is 16%. For those who are xevo and are not tijv, the probability of gyzp is 77%. For those who are xevo and are tijv, the probability of gyzp is 60%. For those who are not xevo, the probability of tijv is 97%. For those who are xevo, the probability of tijv is 28%. B:Does xevo positively affect gyzp through tijv? Answer: seal
A:The overall probability of male gender is 54%. For individuals who are not male, the probability of admission acceptance is 49%. For individuals who are male, the probability of admission acceptance is 24%. B:Is admission acceptance more likely than admission rejection overall? Answer:
laws