Suppose that X-N(10,4) and X2 - N(5,9) are two independent random variables. Let Y=3x+2x2 and find: a) The mean and variance of Y, a. u,=E(Y)=. b. σ =V(Y)= b) The distribution Y- c) The probability: Pr(Y≤48.5)=
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- Consider two random variables X and Y. The covariance between these two variables is 1.00. We can conclude that there is a perfect positive linear relationship between the two variables. Is this statement true or false? If your answer is false, give reasons.Consider a Poisson distribution with . Write the appropriate Poisson probability mass function. Compute f(2). Compute f(1). Compute .An exponential probability distribution _____. a. must be normally distributed b. is a discrete distribution c. is a continuous distribution d. can be either continuous or discrete
- A random variable that can assume only a finite number of values is referred to as a(n) _____. a. infinite sequence b. finite sequence c. discrete probability function d. discrete random variableConsider the following utility function: u = 400 (1 + 1)−1. xy a. Is this utility function homogenous? Briefly explain. b. Use implicit differentiation to find the MRCS. c. Write down an expression for the indifference curve if u = 20.In the linear regression equation y = a + bx, the letter b is best described as a (n):
- The random variable x is known to be uniformly distributed between 10 and 20. a. Show the graph of the probability density function. b. Compute P(x15). c. Compute P(12x18) d. Compute E(x) e. Compute Var(x)Suppose that you are given a decision situation with three possible states of nature: s1, s2, and s3. The prior probabilities are P(s1) = 0.2, P(s2) = 0.5, and P(s3) = 0.3. With sample information I, P(I|s1) = 0.1, P(I|s2) = 0.05, and P(I|s3) = 0.2. Compute the revised (or posterior) probabilities: P(s1|I), P(s2|I), and P(s3|I).Which of the following indicates that two variables tend to move in the same direction? a.negative covariance b.probability c.covariance d.positive covariance
- Consider the generalised linear regression model: y = Xẞ + e, with E[e] = 0 and E[ee] = 022. Let the model be estimated using both OLS and GLS, and let the OLS estimator of ẞ be denoted as BOLS and its GLS estimator as BGLS. Which of the following statements are incorrect about the OLS and GLS estimators? (a) BOLS is BLUE (b) BGLS is BLUE (c) The variance of BOLS cannot be less than that of BGLS (d) BGLS is more efficient that BOLSThe continuous distribution characterized by a symmetric, bell-shaped curve is the: A.exponential distribution B.binomial distribution C.Poisson distribution D.normal distributionThe correlation of two variables will be Group of answer choices a. Between -1 and +1, inclusive b. Between 0 and +2, inclusive c. Between 0 and +1, inclusive d. Between minus infinity and plus infinity