Finding Distribution of Random Variables

Related BrainMass Solutions

• Finding probability and area under a distribution

  502854 Finding probability and area under a distribution 1. Find the following probability for the standard normal random variables z P( -1.5< z < 1.5) 2.

• Finding the probability that the roots of a quadratic exist.

  ax^2 + bx + c = 0 Since a, b and c are random variables following uniform distribution on the interval (0,1), the distribution functions are the same as F(x)=x, 0=1, otherwise, F(x)=0.

• Statistics - All Topics - Probability distributions

  142217 Problems involving normal distribution, poisson distribution, finding expected value of mean and standard deviation, and finding probability values under normal distributions. Please show ALL work! 1.

• Jointly Distributed Random Variables : Gamma and Exponential Distributions

  (This problem is from the chapter of Jointly Distributed Random Variables.) Before I prove this question, I would like to recall the Exponential random variable and Gamma distribution.

• Standard normal random variables

  72246 Standard normal random variables Let Z be a standard normal random variable. Calculate the following probabilities and round your responses to at least three decimal places.

• The Minimum of Two Independent Geometric Random Variables

  345248 The Minimum of Two Independent Geometric Random Variables Let H be a random variable with probability p1 that has a Geometric distribution G1 Let Y be a random variable with probability p2 that has a Geometric distribution G2 H and Y are two

• Covariance between two random variables

  It is an explanation of the Covariance between two random variables. It is from the Discrete Probability Distribution. It is a detail description of the problem.

• Property of continuous distributions

  As with discrete random variables, the probability distribution can be approximated by a smooth curve b. Probabilities for continuous variables can be approximated using discrete random variables c.

• Independent random variables

  77847 Independent random variables distribution (See attached file for full problem description) --- 4. Consider independent random variables, Xi, where Let Y = (a) Determine fY (y). Describe this distribution.