A:We know that high poverty and global water company causes liking spicy food. high poverty and liking spicy food causes cholera contraction. We observed the person is served by a global water company and the region has low poverty. B:Would the person avoids cholera if liking spicy food instead of not liking spicy food? Answer: username
A:For those who are not jyka and are not zuph, the probability of glimx is 74%. For those who are not jyka and are zuph, the probability of glimx is 2%. For those who are jyka and are not zuph, the probability of glimx is 45%. For those who are jyka and are zuph, the probability of glimx is 6%. The overall probability of jyka is 99%. B:Will zuph increase the chance of glimx? Answer: midi
A:Method 1: We look at how rixq correlates with xevu case by case according to swoy. Method 2: We look directly at how rixq correlates with xevu in general. B:To understand how rixq affects xevu, is it more correct to use the Method 1 than Method 2? Answer: username
A:We know that yupt causes not jyka. yupt or jyka causes kwox. We observed an individual is not yupt. B:Would an individual is kwox if not jyka instead of jyka? Answer: midi
A:The overall probability of smoking is 96%. For nonsmokers, the probability of lung cancer is 33%. For smokers, the probability of lung cancer is 47%. B:Is lung cancer less likely than absence of lung cancer overall? Answer: username
A:For those who are not jyka and are not hwax, the probability of lirg is 9%. For those who are not jyka and are hwax, the probability of lirg is 36%. For those who are jyka and are not hwax, the probability of lirg is 12%. For those who are jyka and are hwax, the probability of lirg is 35%. For those who are not jyka, the probability of hwax is 80%. For those who are jyka, the probability of hwax is 30%. B:For those who are jyka, would it be more likely to see lirg if the individual was not jyka? Answer: username
A:For individuals who are not male and applicants to a non-competitive department, the probability of freckles is 62%. For individuals who are not male and applicants to a competitive department, the probability of freckles is 81%. For individuals who are male and applicants to a non-competitive department, the probability of freckles is 37%. For individuals who are male and applicants to a competitive department, the probability of freckles is 56%. For individuals who are not male and out-of-state residents, the probability of competitive department is 48%. For individuals who are not male and in-state residents, the probability of competitive department is 81%. For individuals who are male and out-of-state residents, the probability of competitive department is 14%. For individuals who are male and in-state residents, the probability of competitive department is 60%. The overall probability of in-state residency is 6%. B:Does gender positively affect freckles through department competitiveness? Answer: midi
A:For those who are not zuph, the probability of glimx is 11%. For those who are zuph, the probability of glimx is 26%. B:Does zuph negatively affect glimx through jyka? Answer: midi
A:For those who are swoq, the correlation between kwox and kwoz is -0.89. B:If we look at those who are swoq, does it mean that kwox does not affect kwoz? Answer:
username