A:The overall probability of yomx is 80%. The probability of not yomx and xevu is 10%. The probability of yomx and xevu is 35%. B:Is the chance of xevu larger when observing yomx? Answer: mountain
A:Method 1: We look at how kwox correlates with kwoz case by case according to muvy. 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: mountain
A:We know that xevo and tijv causes gyzp. We observed an individual is tijv. B:Would an individual is not gyzp if not xevo instead of xevo? Answer: amount
A:We know that jyka causes not yupt. jyka and yupt causes kwox. B:Would an individual is not kwox if not jyka instead of jyka? Answer: amount
A:For areas with low cigarette tax, the probability of normal infant birth weight is 54%. For areas with high cigarette tax, the probability of normal infant birth weight is 66%. For areas with low cigarette tax, the probability of smoking mother is 55%. For areas with high cigarette tax, the probability of smoking mother is 22%. B:Will smoking mother decrease the chance of normal infant birth weight? Answer: amount
A:The overall probability of kwox is 52%. The probability of not kwox and kwoz is 11%. The probability of kwox and kwoz is 19%. B:Is the chance of kwoz larger when observing kwox? Answer: amount
A:We know that jyka causes hwax, and we know that hwax causes not lirg. B:Would an individual is not lirg if not jyka instead of jyka? Answer: mountain
A:The overall probability of male gender is 50%. For individuals who are not male, the probability of brown eyes is 42%. For individuals who are male, the probability of brown eyes is 49%. B:Is brown eyes more likely than blue eyes overall? Answer: mountain
A:For those who are not jyka, the probability of kwox is 67%. For those who are jyka, the probability of kwox is 23%. B:Will jyka decrease the chance of kwox? Answer:
amount