In a binomial distribution,
In a binomial distribution,
if x is a binomial random
if x is a binomial random
The normal approximation to the binomial distribution works best when the number of trials is large, and when the binomial distribution is symmetrical (like the normal).
The normal approximation to the binomial distribution works best when the number of trials is large, and when the binomial distribution is symmetrical (like the normal).
Which of the following is not a characteristic of a binomial experiment?
Which of the following is not a characteristic of a binomial experiment?
【单选题】某小麦品种在田间出现变异植株的概率为0.0045,今调查100株,恰好有2株出现变异的概率用SAS命令计算语句正确的是:【 】 A. probbnml(0.0045,100,2); B. 1- probbnml(0.0045,100,2); C. cdf("BINOMIAL",2,0.0045,100); D. cdf("BINOMIAL",2,0.0045,100)-cdf("BINOMIAL",1,0.0045,100);
【单选题】某小麦品种在田间出现变异植株的概率为0.0045,今调查100株,恰好有2株出现变异的概率用SAS命令计算语句正确的是:【 】 A. probbnml(0.0045,100,2); B. 1- probbnml(0.0045,100,2); C. cdf("BINOMIAL",2,0.0045,100); D. cdf("BINOMIAL",2,0.0045,100)-cdf("BINOMIAL",1,0.0045,100);
概念题[br][/br]二项式期权定价模型( binomial option - pricing model )
概念题[br][/br]二项式期权定价模型( binomial option - pricing model )
If X is a binomial random with n = 8 and p = 0.6, what is the probability that X is greater than 2?
If X is a binomial random with n = 8 and p = 0.6, what is the probability that X is greater than 2?
If X is a binomial random with n = 8 and p = 0.6, what is the probability that X is less than or equal to 2?
If X is a binomial random with n = 8 and p = 0.6, what is the probability that X is less than or equal to 2?
Which of the following are the common used discrete distributions in acceptance sampling: A: Poisson B: Binomial C: Hypergeometric D: Weibull
Which of the following are the common used discrete distributions in acceptance sampling: A: Poisson B: Binomial C: Hypergeometric D: Weibull
A binomial distribution for which the number of trials n is large can well be approximated by a Poisson distribution when the probability of success, p, is:
A binomial distribution for which the number of trials n is large can well be approximated by a Poisson distribution when the probability of success, p, is: