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The mean and variance of a random variable X having a binomial distribution are 4.e and 2 respectively. Then, P ( X = 1 ) is__________.

The mean and variance of a random variable X having a binomial distribution are 4.e and 2 respectively. Then, P ( X = 1 ) is__________.

Grade:11

2 Answers

Aman Bansal
592 Points
11 years ago

Dear Shiva,

In probability theory and statistics, the binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p. Such a success/failure experiment is also called a Bernoulli experiment or Bernoulli trial; when n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance.

The binomial distribution is frequently used to model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement, the draws are not independent and so the resulting distribution is a hypergeometric distribution, not a binomial one. However, for N much larger than n, the binomial distribution is a good approximation, and widely used.

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Aman Bansal

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upender surepally
126 Points
11 years ago

1/32

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