2)
There are 4 people at a party. Consider the random variable X=’number of people having the same birthday’ (match only
month, N=12).
a. Define the sample space S and the associated probability function (pf). Plot pf.
b. Plot the associated exceedance probability function G(x)=Pr[X> x];
c. Compute mean and standard deviation of X.
2) There are 4 people at a party. Consider the random variable X=’number of people having...
1. Consider a random experiment that has as an outcome the number x. Let the associated random variable be X, with true (population) and unknown probability density function fx(x), mean ux, and variance σχ2. Assume that n 2 independent, repeated trials of the random experiment are performed, resulting in the 2-sample of numerical outcomes x] and x2. Let estimate f x of true mean ux be μΧ-(X1 + x2)/2. Then the random variable associated with estimate Axis estimator Ax- (XI...
Consider a random experiment that has as an outcome the number x. Let the associated variable be X, with true (population) and unknown probability density function fx(x), mean ux. and variance σχ2. Assume that n-2 independent, repeated trials of the random experiment are performed, resulting in the 2-sample of numerical outcomes xi and x2 Let estimate μ X of true mean #xbe μχ = (x1+x2)/2. Then the random variable associated with estimate μ xis estimator random 1. a. Show the...
2) Consider a random variable with the following probability distribution: P(X = 0) = 0.1, P(X=1) =0.2, P(X=2) = 0.3, P(X=3) = 0.3, and P(X=4)= 0.1. A. Generate 400 values of this random variable with the given probability distribution using simulation. B. Compare the distribution of simulated values to the given probability distribution. Is the simulated distribution indicative of the given probability distribution? Explain why or why not. C. Compute the mean and standard deviation of the distribution of simulated...
1. (a) Consider the random variable Y having possible values 1, 2 and 3. The corresponding probability for each value is: 1 with probability Y = 2 with probability 3 with probability Determine an expression for the probability mass function (pmf) (11) Determine the mean and the standard deviation of Y. (b) The probability that a man hits a target is and that of his son and daughter are and respectively. If they all fire together, find the probability that:...
2) Consider a random variable with the following probability distribution: P(X-0)-0., Px-1)-0.2, PX-2)-0.3, PX-3) -0.3, and PX-4)-0.1 A. Generate 400 values of this random variable with the given probability distribution using simulation. B. Compare the distribution of simulated values to the given probability distribution. Is the simulated distribution indicative of the given probability distribution? Explain why or why not. C. Compute the mean and standard deviation of the distribution of simulated values. How do these summary measures compare to the...
Problem 1. Let X be a discrete random variable with values -2,0,1,5 urith pmf (a) Verify that the probabilities do define a pmf (probability mass function) ( b) Compute the mean of X , i.e., μ -E(X) (c) Compute the standard deviation of X, i.e., σ- Nar(X)
#5 please 2. Find the probability distribution function for the random variable representing picking a random real number between -1 and 1. (This is a piecewise defined function.) 3. Compute the mean of the random variable with density function if x>0 ed f(r) = if r < 0. 0 4. Compute the mean of the random variable with density function 2e (1 - cos x) if x >0 if r<O. f (x) = 5 Compute the variance and standard deviation...
5. A discrete random variable, X, has three possible results with the following probabilities: Pr [X 2 /3 No other results can occur. (a) Sketch a graph of the probability function (b) What is the mean or expected value of this random variable? (c) What are the variance and standard deviation of this random variable?
Let Y be the random variable that indicates the number of people standing in a line. We have the following information: At any point in time there are at most 4 people standing in the line The probability of having 2 people standing in the line is equal to the probability of having 0 people standing in the line . The probability of having 3 people standing in the line is equal to the probability of having 1 person standing...
Random variable X is normally distributed with mean 10 and standard deviation 2.Compute the following probabilities.a. Pr(X<10) b. Pr(X<11.04)I don't know where to start.