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9. The random variable x is distributed normally with mean Mx. and variance 6 and random...
A random variable X is normally distributed with a mean of 121 and a variance of 121, and a random variable Y is normally distributed with a mean of 150 and a variance of 225. The random variables have a correlation coefficient equal to 0.5. Find the mean and variance of the random variable below. Av-218 (Type an integer or a decimal.) σ (Type an integer or a decimal.)
5. Suppose X is a normally distributed random variable with mean μ and variance 2. Consider a new random variable, W=2X + 3. i. What is E(W)? ii. What is Var(W)? 6. Suppose the random variables X and Y are jointly distributed. Define a new random variable, W=2X+3Y. i. What is Var(W)? ii. What is Var(W) if X and Y are independent?
4. If the random variable X is normally distributed with mean = 4 and variance o2 = 2, find the values 2o such that a.) P(SX 330) = 0.4770 b.) PICOS X < 5) = 0.3770
19. X is a normally distributed random variable with a mean of 8 and a variance of 9. The probability that x is greater than 13.62 is a. 0.9695 b. 0.0305 c. 0.87333 d. 0.1267
X is a normally distributed random variable with mean equal to 20 and variance equal to 100. The probability that X is < 30 is equal to the probability that Z is less than:
6. Consider a sample X,... X, of normally distributed random variables with mean y and variance op. Let 5 be the sample variance and suppose that n = 16. What is the value of c for which p[x - SS (C2 - 1)] = 95 ? be the 7. Consider a sample X,...,X, of normally distributed random variables with variance o? = 30. Let S sample variance and suppose that n-61. What is the value of c for which P...
Suppose that a random variable is normally distributed with mean μ and variance σ2 and we draw a random sample of 5 observations from this distribution. What is the joint probability density function of the sample?
Let X be normally distributed random variable with expectation 5 and variance 16. Determine the values of c and d such that, Y := d + cX falls between [9, 11] with probability 0.95.
Let W be a normally distributed random variable with mean 25 and variance 4. (a) What type of distribution does Y = [(W−25)/2]^2 have? Name: ____ Parameter(s): ____ (b) Let W1, W2, . . . , W100 be a random sample from a normal population with mean 25 and variance 4. i. What type of distribution does W(bar) have? Name:____ Parameter(s):____ ii. What type of distribution does (99S^2)/4 have? Name:___ Parameter(s)____
Exercise 2. Let consider a normally distributed random variable Z with mean 0 and variance 1. Compute (a) P(Z < 1.34). (b) P(Z > -0.01). (c) the number k such that P(Z <k) = 0.975.