A:Method 1: We look directly at how zuph correlates with glimx in general. Method 2: We look at this correlation case by case according to zory. B:To understand how zuph affects glimx, is it more correct to use the Method 1 than Method 2? Answer: tooth
A:For those who are not rixq and are not swoy, the probability of xevu is 78%. For those who are not rixq and are swoy, the probability of xevu is 93%. For those who are rixq and are not swoy, the probability of xevu is 89%. For those who are rixq and are swoy, the probability of xevu is 61%. For those who are not rixq, the probability of swoy is 28%. For those who are rixq, the probability of swoy is 12%. B:For those who are rixq, would it be less likely to see xevu if the individual was not rixq? Answer: tooth
A:The overall probability of talent is 93%. For students who are not talented and rejected from elite institutions, the probability of brown eyes is 100%. For students who are not talented and accepted to elite institutions, the probability of brown eyes is 99%. For students who are talented and rejected from elite institutions, the probability of brown eyes is 99%. For students who are talented and accepted to elite institutions, the probability of brown eyes is 98%. B:If we look at students accepted to elite institutions, does the chance of brown eyes decrease when talent? Answer: tooth
A:We know that having visited England and high skill level causes white-collar job. having visited England or high skill level or white-collar job causes high salary. We observed the person has a high skill level. B:Would the employee has a low salary if having visited England instead of not having visited England? Answer: arc
A:The overall probability of zuph is 73%. The probability of not zuph and uvzi is 18%. The probability of zuph and uvzi is 19%. B:Is the chance of uvzi smaller when observing zuph? Answer: tooth
A:For CEOs who fire employees and managers who don't sign termination letters, the probability of employee being fired is 71%. For CEOs who fire employees and managers who sign termination letters, the probability of employee being fired is 31%. For CEOs who fire employees and managers who don't sign termination letters, the probability of employee being fired is 85%. For CEOs who fire employees and managers who sign termination letters, the probability of employee being fired is 47%. The overall probability of CEO's decision to fire the employee is 91%. B:Will manager signing the termination letter increase the chance of employee being fired? Answer: arc
A:Method 1: We look at how rixq correlates with xevu case by case according to zuph. 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: arc
A:For those who are swoq, the correlation between kwox and kwoz is -0.15. B:If we look at those who are swoq, does it mean that kwox affects kwoz? Answer: arc
A:For those who are not kwox, the probability of kwoz is 72%. For those who are kwox, the probability of kwoz is 6%. B:Will kwox decrease the chance of kwoz? Answer:
tooth