A:We know that male gender and in-state residency causes competitive department. male gender and in-state residency and competitive department causes brown eyes. We observed the resident is in-state. B:Would the applicant has blue eyes if male gender instead of non-male gender? Answer: gotten
A:Method 1: We look directly at how xevo correlates with gyzp in general. Method 2: We look at this correlation case by case according to tijv. B:To understand how xevo affects gyzp, is it more correct to use the Method 1 than Method 2? Answer: considering
A:The overall probability of xevo is 50%. The probability of not xevo and gyzp is 29%. The probability of xevo and gyzp is 26%. B:Is the chance of gyzp smaller when observing xevo? Answer: considering
A:We know that tijw or tijv causes xevo. tijw and xevo causes gyzp. We observed an individual is tijv and an individual is not tijw. B:Would an individual is not gyzp if xevo instead of not xevo? Answer: considering
A:We know that taking medication causes high blood pressure. taking medication and high blood pressure causes healthy heart. B:Would the person experiences a heart problems if not taking medication instead of taking medication? Answer: considering
A:Method 1: We look at how jyka correlates with lirg case by case according to hwax. Method 2: We look directly at how jyka correlates with lirg in general. B:To understand how jyka affects lirg, is it more correct to use the Method 1 than Method 2? Answer: gotten
A:For those who are not jyka and are not yupt, the probability of kwox is 21%. For those who are not jyka and are yupt, the probability of kwox is 42%. For those who are jyka and are not yupt, the probability of kwox is 36%. For those who are jyka and are yupt, the probability of kwox is 78%. For those who are not jyka, the probability of yupt is 11%. For those who are jyka, the probability of yupt is 21%. B:Does jyka negatively affect kwox through yupt? Answer: gotten
A:For those who are not jyka, the probability of lirg is 21%. For those who are jyka, the probability of lirg is 81%. B:For those who are jyka, would it be more likely to see lirg if the individual was not jyka? Answer: gotten
A:For patients who are young and pay a low hospital bill, the probability of thick lips is 99%. For patients who are young and pay a high hospital bill, the probability of thick lips is 87%. For patients who are old and pay a low hospital bill, the probability of thick lips is 30%. For patients who are old and pay a high hospital bill, the probability of thick lips is 19%. The overall probability of old age is 47%. B:For people who pay a high hospital bill, would it be more likely to see thick lips if the patient had paid a low hospital bill? Answer:
considering