A:We know that confounder active or high cigarette tax causes smoking mother. confounder active or smoking mother causes brown eyes. We observed the cigarette tax is low and confounder inactive. B:Would the infant has brown eyes if nonsmoking mother instead of smoking mother? Answer: nuts
A:For those who are not rixq, the probability of xevu is 31%. For those who are rixq, the probability of xevu is 67%. B:For those who are rixq, would it be less likely to see xevu if the individual was not rixq? Answer: abilities
A:For managers who don't sign termination letters and directors who don't sign termination letters, the probability of employee being fired is 9%. For managers who don't sign termination letters and directors who sign termination letters, the probability of employee being fired is 54%. For managers who sign termination letters and directors who don't sign termination letters, the probability of employee being fired is 46%. For managers who sign termination letters and directors who sign termination letters, the probability of employee being fired is 90%. For managers who don't sign termination letters, the probability of director signing the termination letter is 17%. For managers who sign termination letters, the probability of director signing the termination letter is 27%. B:For managers who sign termination letters, would it be less likely to see employee being fired if the manager had signed the termination letter? Answer: abilities
A:The overall probability of zuph is 61%. The probability of not zuph and glimx is 17%. The probability of zuph and glimx is 3%. B:Is the chance of glimx smaller when observing zuph? Answer: abilities
A:The overall probability of liking spicy food is 8%. The probability of not liking spicy food and the forest on fire is 32%. The probability of liking spicy food and the forest on fire is 5%. B:Is the chance of the forest on fire smaller when observing liking spicy food? Answer: nuts
A:The overall probability of having visited England is 56%. The probability of not having visited England and high salary is 28%. The probability of having visited England and high salary is 37%. B:Is the chance of high salary smaller when observing having visited England? Answer: nuts
A:The overall probability of jyka is 48%. For those who are not jyka, the probability of lirg is 1%. For those who are jyka, the probability of lirg is 29%. B:Is lirg less likely than not lirg overall? Answer: abilities
A:Method 1: We look at how playing card games correlates with lifespan case by case according to diabetes. Method 2: We look directly at how playing card games correlates with lifespan in general. B:To understand how playing card games affects lifespan, is it more correct to use the Method 1 than Method 2? Answer: nuts
A:Method 1: We look at how yomx correlates with xevu case by case according to cwoi. Method 2: We look directly at how yomx correlates with xevu in general. B:To understand how yomx affects xevu, is it more correct to use the Method 1 than Method 2? Answer:
abilities