A certain raw material is classified as to moisture content X (in percent) and impurity Y (in percent). Let X and Y have the joint pmf given by:
X | ||||
Y | 1 | 2 | 3 | 4 |
2 | .10 | .20 | .30 | .05 |
1 | .05 | .05 | .15 | .10 |
a) Find the marginal pmf's, the means and the variances.
b) Find the covariance and the correlation coefficient of X and Y.
c) If additional heating is needed with high moisture conent and additional filtering with high impurity such that the additional cost is given by the function C =2X + 10Y^2 in dollars, find E(C).
I have the answers from the textbook below, but I need to see the steps in getting to these answers. Thanks!
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Answers:
a) f1 (1) = 0.15, f1(2) = .25, f1(3) =.45 , f1(4) = .15
f2(1) = .35, f1(2) = 0.65
,, ,
b) Cov (X,Y) = -.0900 ,
c) E (C) = 34.70
4.2 The Correlation Coefficient 1. Let the random variables X and Y have the joint PMF of the form x + y , x= 1,2, y = 1,2,3. p(x,y) = 21 They satisfy 11 12 Mx = 16 of = 12 of = 212 2 My = 27 Find the covariance Cov(X,Y) and the correlation coefficient p. Are X and Y independent or dependent?
5.8.6 otherwise. (a) Find the correlation rx.y (b) Find the covariance Cov(X,Y]. 5.8.6 The random variables X and Y have (b) Use part Cov oint PMF (c) Show tha Var[ (d) Combine Px,y and 5.8.10 Ran the joint PM PN,K (n, k) 0 0 Find (a) The expected values E[X] and EY, pected (b) The variances Var(X] and Var[Y],VarlK], E Find the m
3 The table shows a joint pdf. Find the covariance and the correlation coefficient for X and Y Cov(X,Y)= 1 2 4 3 0.125 0 0 4 0.25 0 0 '50 0. 50 6 0 0 0.125
Find the covariance and correlation coefficient for the following sets of data. Select the answers equal to or closest to your results. X: 50 44 47 40 54 Y: 10 13 95 7 Cov What does each measure tell you? Check all that apply. The covariance tells you that there is a weak or nonexistent linear relationship between X and Y The covariance and correlation coefficient tell you that there is a positive linear relationship between X and Y. The...
5. You roll a pair of fair dice independently. What is the correlation coefficient of the high and low points rolled? Hints: Let X be the low points rolled and Y be the high points rolled. What is the joint pmf of X and Y? Check: P(X = 1,Y = 1) = 6, P(X = 4, Y = 6) = 26, and P(X 3, Y = 2) = 0. 5. You roll a pair of fair dice independently. What is...
1. Consider a discrete bivariate random variable (X,Y) with the joint pmf given by the table: Y X 1 2 4 1 0 0.1 0.05 2 0.2 0.05 0 4 0.1 0 0.05 8 0.3 0.15 0 Table 0.1: p(, y) a) Find marginal distributions of X and Y, p(x) and pay respectively. b) Find the covariance and the correlation between X and Y.
Question 5 - Even More Fun With Bivariate Normal Distributions Let X and Y be independent normally distributed with mean x = 2 and μΥ--3 and standard deviations ơX-3 and ơY-5, respectively. Determine the following: (a) P(3X 6Y>15), (b) P(3X6Y<30) (c) Cov(X, Y) d) Verify (a) and (b) using R code, where for each case you generate a million X's and a million Y's and simulate the linear combination 3X 6Y. (e) Assume now that the random variables come from...
(5 points) Suppose the joint probability mass function (pmf) of integer- Y ī PlX = í,ys j) = (i + 2j)o, for 0 í valued random variables X and < 2,0 < j < 2, and i +j < 3, where c is a constant. In other words, the joint pmf of X and Y can be represented by the table: Y=2 |Y=0 Y=1 X=0| 0 2c 4c 3c 4c 5c X=21 2c (a) Find the constant c. (b) Compute...
The following relates to Problems 21 and 22. Let X ~ NĢi 1, σ2-1), Y ~ NĢı = 2,02-9) and ρχ.Y = 0.5 (recall that ρΧΥ stands for the correlation coefficient of X and Y) Problem 21: Find COV(X, Y) and Var(X +Y) 1 COV(X, Y) 1.5 and Var(XY)-15; [2] COV(X, Y) 3 and Var(X+Y)-7; 3 COV(X,Y) 3 and Var(X + Y) 10: 4] COV(X,Y) 1.5 and Var(X + Y)-7; [5] cov (X, Y) = 1.5 and Var (X +...
PROBLEMS 8.20 For the joint distribution p(X, Y) in problem 8.4, find the correlation coefficient. (See also problem 8.11.) | • 8.4 Consider the following joint distribution of X and Y: X Y 1 2 3 1 .1 .2 0 102 0 .1 .3 (a) Find the marginal distributions of X and Y. (b) What is the conditional distribution of X given that Y equals 2? (c) What is the conditional distribution of Y given that X equals 3? (d)...