A:For those who are not zuph and are not rixq, the probability of xevu is 91%. For those who are not zuph and are rixq, the probability of xevu is 29%. For those who are zuph and are not rixq, the probability of xevu is 34%. For those who are zuph and are rixq, the probability of xevu is 43%. The overall probability of zuph is 43%. B:For those who are rixq, would it be less likely to see xevu if the individual was not rixq? Answer: lc
A:For patients who have small kidney stones and not receiving treatment, the probability of thick lips is 6%. For patients who have small kidney stones and receiving treatment, the probability of thick lips is 20%. For patients who have large kidney stones and not receiving treatment, the probability of thick lips is 83%. For patients who have large kidney stones and receiving treatment, the probability of thick lips is 94%. The overall probability of large kidney stone is 46%. B:Will receives treatment increase the chance of thick lips? Answer: notified
A:The overall probability of zuph is 93%. The probability of not zuph and uvzi is 2%. The probability of zuph and uvzi is 23%. B:Is the chance of uvzi smaller when observing zuph? Answer: lc
A:The overall probability of manager signing the termination letter is 22%. The probability of manager not signing the termination letter and employee being fired is 11%. The probability of manager signing the termination letter and employee being fired is 17%. B:Is the chance of employee being fired smaller when observing manager signing the termination letter? Answer: lc
A:Method 1: We look at how treatment correlates with peanut allergy case by case according to gender. Method 2: We look directly at how treatment correlates with peanut allergy in general. B:To understand how treatment affects peanut allergy, is it more correct to use the Method 1 than Method 2? Answer: notified
A:For those who are not yupt, the probability of muvq is 38%. For those who are yupt, the probability of muvq is 65%. B:Will yupt decrease the chance of muvq? Answer: lc
A:For those who are not zuph, the probability of glimx is 38%. For those who are zuph, the probability of glimx is 48%. B:Will zuph increase the chance of glimx? Answer: notified
A:For people who do not drink coffee, the probability of dark room is 96%. For people who drink coffee, the probability of dark room is 61%. B:For people who drink coffee, would it be more likely to see dark room if the person did not drink coffee? Answer: notified
A:We know that confounder active and assignment of drug treatment causes taking of all assigned drugs. confounder active and taking of all assigned drugs causes freckles. We observed the patient is assigned the treatment and confounder inactive. B:Would the patient has freckles if taking of all assigned drugs instead of not taking of any assigned drugs? Answer:
lc