Binomial Random Variable explained in this solution

Related BrainMass Solutions

• Binomial distribution explained in this solution

  212952 Binomial Distribution Explained in the Solution The solution addresses (see attachment): Determine the cumulative distribution function of a binomial random variable with n =3 nad p = ½ Determine the cumulative distribution function of a

• Stochastic Process, Random Variables, Discrete Random Variables, and Probability Distributions

  The solutions to the questions are explained in a step-by-step process and the methods are explained.

• Probability of Binomal Random Variable with Baseball Example

  gives detailed steps on calculating some probabilities of binomial random variable under the assumption of binomial distribution using the baseball example.

• Binomial Random Variable

  119767 Binomial Random Variable Functions 1. For a binomial random variable with n=8, pie =0.2, P(3)= 2. For a binomial random variable with n=6, and pie = 0.7, P(5)= 3.

• Total Expectation: Poisson and Negative Binomial

  Thus, E(X) = E(N+1) = E(N) + 1 = 10 + 1 = 11 where E(N) = 10 since N is a Poisson(10) random variable. Therefore, the answer is 11. A full step-by-step explained solution is given, with references to websites for more detail.

• Statistics - Binomial Probabilities

  106163 Normal Approximation to Binomial distribution Question : Assuming that X is a binomial random variable with n = 1000 and p = 0.50, find each of the following probabilities.

• Bernoulli experiment and binomial distribution

  The solution describes a discrete random variable, a Bernoulli experiment and binomial distribution.

• Mathematics - Binomial Random Variable

  Solution that determines the binomial random variable is provided.

• Descriptive Statistic Calculations

  Suppose a baseball player had 208 hits in a season. In the given probability distrubtion, the random variable x represents the number of hits the player obtained in a game.

• Mean & Standard Deviation of Binomial distribution

  This solution details the calculation of Mean & Standard Deviation for a Binomial distribution.