A:For normal weight people, the probability of long lifespan is 69%. For obese people, the probability of long lifespan is 38%. B:For obese people, would it be more likely to see long lifespan if the person had been normal weight? Answer: publication
A:We know that drinking coffee causes alarm not set by wife. drinking coffee or alarm set by wife causes ringing alarm. B:Would the alarm rings the next morning if not drinking coffee instead of drinking coffee? Answer: publication
A:We know that rainy season causes rain and sprinkler on. rain and sprinkler on causes wet ground. B:Would the ground is wet if dry season instead of rainy season? Answer: dealers
A:Method 1: We look at how kwox correlates with kwoz case by case according to swoq. Method 2: We look directly at how kwox correlates with kwoz in general. B:To understand how kwox affects kwoz, is it more correct to use the Method 1 than Method 2? Answer: dealers
A:We know that swoq causes not kwox and muvy. kwox and muvy causes kwoz. We observed an individual is not swoq. B:Would an individual is kwoz if kwox instead of not kwox? Answer: publication
A:We know that jyka causes hwax. jyka or hwax causes lirg. B:Would an individual is lirg if not jyka instead of jyka? Answer: dealers
A:For those who are not zuph, the probability of glimx is 76%. For those who are zuph, the probability of glimx is 25%. B:For those who are zuph, would it be less likely to see glimx if the individual was not zuph? Answer: dealers
A:For those who are not jyka, the probability of lirg is 41%. For those who are jyka, the probability of lirg is 69%. B:Will jyka increase the chance of lirg? Answer: publication
A:We know that drinking coffee causes alarm set by wife. drinking coffee and alarm set by wife causes ringing alarm. B:Would the alarm doesn't ring the next morning if drinking coffee instead of not drinking coffee? Answer:
dealers