A:The overall probability of zuph is 3%. For those who are not zuph, the probability of uvzi is 82%. For those who are zuph, the probability of uvzi is 64%. B:Is uvzi more likely than not uvzi overall? Answer: firms
A:The overall probability of jyka is 74%. For those who are not jyka, the probability of lirg is 75%. For those who are jyka, the probability of lirg is 74%. B:Is lirg more likely than not lirg overall? Answer: firms
A:The overall probability of xevo is 14%. The probability of not xevo and gyzp is 55%. The probability of xevo and gyzp is 6%. B:Is the chance of gyzp larger when observing xevo? Answer: casey
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: firms
A:The overall probability of yomx is 4%. The probability of not yomx and xevu is 28%. The probability of yomx and xevu is 1%. B:Is the chance of xevu larger when observing yomx? Answer: firms
A:For those who are not kwox, the probability of kwoz is 15%. For those who are kwox, the probability of kwoz is 34%. B:Does kwox negatively affect kwoz through swoq? Answer: casey
A:The overall probability of pexu is 83%. The probability of not pexu and rukz is 12%. The probability of pexu and rukz is 55%. B:Is the chance of rukz larger when observing pexu? Answer: casey
A:Method 1: We look directly at how drinking coffee correlates with salary in general. Method 2: We look at this correlation case by case according to unobserved confounders. B:To understand how drinking coffee affects salary, is it more correct to use the Method 1 than Method 2? Answer: casey
A:For those who are not rixq, the probability of xevu is 42%. For those who are rixq, the probability of xevu is 38%. B:Will rixq increase the chance of xevu? Answer:
casey