A:We know that hwax causes not jyka and gyzp. jyka and gyzp causes lirg. We observed an individual is not hwax. B:Would an individual is lirg if jyka instead of not jyka? Answer: dividend
A:Method 1: We look at how maternal smoking status correlates with infant mortality case by case according to infant's birth weight. Method 2: We look directly at how maternal smoking status correlates with infant mortality in general. B:To understand how maternal smoking status affects infant mortality, is it more correct to use the Method 1 than Method 2? Answer: newcastle
A:For individuals who are not male, the probability of being lactose intolerant is 94%. For individuals who are male, the probability of being lactose intolerant is 51%. B:Will male gender increase the chance of being lactose intolerant? Answer: newcastle
A:The overall probability of kwox is 2%. The probability of not kwox and kwoz is 90%. The probability of kwox and kwoz is 2%. B:Is the chance of kwoz smaller when observing kwox? Answer: dividend
A:For those who are jyka, the correlation between zuph and glimx is -0.23. B:If we look at those who are jyka, does it mean that zuph does not affect glimx? Answer: dividend
A:The overall probability of zuph is 83%. For those who are not zuph, the probability of uvzi is 34%. For those who are zuph, the probability of uvzi is 39%. B:Is uvzi less likely than not uvzi overall? Answer: dividend
A:For nonsmokers, the probability of freckles is 88%. For smokers, the probability of freckles is 67%. B:Will smoking increase the chance of freckles? Answer: newcastle
A:The overall probability of xevo is 33%. The probability of not xevo and gyzp is 14%. The probability of xevo and gyzp is 10%. B:Is the chance of gyzp smaller when observing xevo? Answer: newcastle
A:The overall probability of kwox is 11%. For those who are not kwox, the probability of kwoz is 93%. For those who are kwox, the probability of kwoz is 86%. B:Is kwoz more likely than not kwoz overall? Answer:
dividend