A:For those who are hwax, the correlation between jyka and lirg is 0.16. B:If we look at those who are hwax, does it mean that jyka affects lirg? Answer: generate
A:For those who are not zuph, the probability of glimx is 67%. For those who are zuph, the probability of glimx is 89%. B:Will zuph increase the chance of glimx? Answer: inherited
A:The overall probability of jyka is 73%. For those who are not jyka, the probability of lirg is 32%. For those who are jyka, the probability of lirg is 72%. B:Is lirg more likely than not lirg overall? Answer: inherited
A:Method 1: We look at how gender correlates with salary case by case according to occupation. Method 2: We look directly at how gender correlates with salary in general. B:To understand how gender affects salary, is it more correct to use the Method 1 than Method 2? Answer: generate
A:The overall probability of kwox is 71%. For those who are not kwox, the probability of kwoz is 42%. For those who are kwox, the probability of kwoz is 33%. B:Is kwoz more likely than not kwoz overall? Answer: generate
A:For those who are hwax, the correlation between pexu and rukz is 0.05. B:If we look at those who are hwax, does it mean that pexu does not affect rukz? Answer: inherited
A:For infants with nonsmoking mothers, the probability of high infant mortality is 33%. For infants with smoking mothers, the probability of high infant mortality is 67%. B:Will smoking mother decrease the chance of high infant mortality? Answer: generate
A:Method 1: We look directly at how rixq correlates with xevu in general. Method 2: We look at this correlation case by case according to swoy. B:To understand how rixq affects xevu, is it more correct to use the Method 1 than Method 2? Answer: inherited
A:The overall probability of zuph is 30%. For those who are not zuph, the probability of uvzi is 66%. For those who are zuph, the probability of uvzi is 32%. B:Is uvzi less likely than not uvzi overall? Answer:
generate