A:Method 1: We look directly at how respiratory issues correlates with broken bones in general. Method 2: We look at this correlation case by case according to hospitalization status. B:To understand how respiratory issues affects broken bones, is it more correct to use the Method 1 than Method 2? Answer: decent
A:The overall probability of jyka is 85%. The probability of not jyka and lirg is 7%. The probability of jyka and lirg is 32%. B:Is the chance of lirg larger when observing jyka? Answer: identification
A:We know that kraz causes pexu. pexu causes not hwax. kraz and hwax causes rukz. We observed an individual is not kraz. B:Would an individual is not rukz if not pexu instead of pexu? Answer: decent
A:We know that jyka or gyzp causes hwax. jyka or gyzp or hwax causes lirg. We observed an individual is gyzp. B:Would an individual is not lirg if jyka instead of not jyka? Answer: identification
A:Method 1: We look at how season correlates with ground case by case according to sprinkler. Method 2: We look directly at how season correlates with ground in general. B:To understand how season affects ground, is it more correct to use the Method 1 than Method 2? Answer: identification
A:The overall probability of jyka is 26%. The probability of not jyka and kwox is 60%. The probability of jyka and kwox is 15%. B:Is the chance of kwox larger when observing jyka? Answer: identification
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 zuph. B:To understand how rixq affects xevu, is it more correct to use the Method 1 than Method 2? Answer: decent
A:For those who are not yupt, the probability of muvq is 38%. For those who are yupt, the probability of muvq is 23%. B:Will yupt decrease the chance of muvq? Answer: decent
A:For those who are not yomx, the probability of xevu is 28%. For those who are yomx, the probability of xevu is 23%. B:Does yomx negatively affect xevu through gwet and cwoi? Answer:
decent