Complete the following probability distribution table:
X | P(X) |
---|---|
10 | |
33 | 0.2 |
37 | 0.1 |
49 | 0.3 |
Complete the following probability distribution table: Probability Distribution Table X P(X) 10 33 0.2 37 0.1...
Complete the following probability distribution table for the discrete random variable X: X P(X) 2 ? 37 0.1 65 0.2 66 0.2
Probability Distribution Table X P(X) −6-6 1111 0.1 2525 0.3 6969 0.3 Complete the following probability distribution table:
Consider the following probability distribution: x P(x) 1 0.1 2 ? 3 0.2 4 0.3 What must be the value of P(2) if the distribution is valid? A. 0.6 B. 0.5 C. 0.4 D. 0.2 What is the mean of the probability distribution? A. 2.5 B. 2.7 C. 2.0 D. 2.9
Consider the probability distribution shown below: X 10 12 18 20 p(x) 0.2 0.3 0.1 0.4 Find the standard deviation of X.
2. Consider a random variable with the following probability distribution: P(X=0) = 0.1, P(X=1) = 0.2, P(X=2) = 0.4, and P(X=3) = 0.3 a. Find P(X<=1) b. Find P(1<X<=3)
1. Discrete distribution for is given by the following table: Probability p Value X 0.2 -10 0.5 20 0.2 50 0.1 80 Find distribution function f00 and median Me(X).Calculate mathematical expectation (the mean) MX) variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X).
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...
Explain why the probability mass function P(X = 1000) = 0.1, P(X = 1500) = 0.2, P(X = 2000) = 0.3, P(X = 2500) = 0.3, P(X = 3000) = 0.1 is not practical as a distribution for the number of phone calls to a help-desk call center during a day
A discrete random variable X has probability mass function P() 0.1 0.2 0.2 0.2 0.3 Use the inverse transform method to generate a random sample of size from the distribution of X. Construct a relative frequency table and compare the empirical with the theoretical probabilities. Repeat using the R sample function. 1000
Consider the following discrete probability distribution: X -0.99 0.48 0.71 1.4 P(X) 0.1 0.4 0.3 0.2 a) What is E[X]? Round your answer to at least 3 decimal places. b) What is Var[X]? Round your answer to at least 3 decimal places.