Mathematics

Mathematics, 03.12.2019 04:31, andy6128

Show that if x follows a binomial distribution with ni trials and probability of success pi = p, where i = 1; 2; : : : ; n, and the xi are independent, then pn i=1 xi follows a binomial distribution

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Mathematics, 22.08.2019 23:30, eddyreynoso6388

Determine whether or not the procedure described below results in a binomial distribution. if it is not binomial, identify at least one requirement that is not satisfied. 400 different voters in a region with 2 major political parties, a and b, are randomly selected from the population of 6500 voters. each is asked if he is a member of political party a. choose the correct answer below: a. no, the trials are not independant and the sample is more than 5% of the populationb. no, there are more than two possible outcomes.c. yes, the result is a binomial probability distributiond. no, the number of trials is not fixed.e. no, the probability of success is not the same in all trials.

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Mathematics, 28.09.2019 20:00, Jadamachado45

Assume that a procedure yields a binomial distribution with n=3 trials and a probability of success of p=0.300. use a binomial probability table to find the probability that the number of successes x is exactly 2.

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Mathematics, 14.10.2019 19:30, iv267829

What are the four conditions necessary for x to have a binomial distribution? mark all that apply.the probability of success, p, is constant from trial to trial. there can only be two outcomes, success and failure the trials must be independent. you must have at least 10 successes and 10 failures. x can take on any value in an interval. x counts the number of trials until you get a success. there are n set trials

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Mathematics, 19.11.2019 19:31, ErrorNameTaken505

Aprobability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a options uniform probability distribution binomial probability distribution hypergeometric probability distribution normal probability distribution

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