sheila
10-22-2011, 06:44 AM
Dear all,
I really need your help in solving these questions.
If X is the amount of money (in dollars) that a salesperson spends on gasoline and Y is the corresponding amount of money for which he is reimbursed, the joint density of these two random variables is given by:
_________1/25((20-x)/x) for 10<x<20, x/2<Y<X
f(X,Y) = {
_________0, Elsewhere
Find
A| The marginal density of X
B| The conditional density of Y given X=15
C| The probability that the salesperson will be reimbursed at least $10 when spending $15
I found the basics about marginal/conditional density and joint probability in my statitics book. However, for determining the marginal density the probabilities were already given in the book. Therefore only rows or columns were added up in order to determine the marginal density of X and Y. For me this example seems to be more complicated. Furthermore I understood there is a difference in the calculation method on discrete and continuous random variables. I think this example is with continuous variables, is this correct?
I tried to solve the integral and this is my answer:
1/25∫(20-x/x)dx = 1/25 ∫((20/x)-(x/x))dx = 1/25 ∫((20/x)-1)dx
20/25∫((1/x)-1dx=20/25(ln|x|-x)
Hope I can get a solution as I am preparing for my exam.
Thank you in advance!
I really need your help in solving these questions.
If X is the amount of money (in dollars) that a salesperson spends on gasoline and Y is the corresponding amount of money for which he is reimbursed, the joint density of these two random variables is given by:
_________1/25((20-x)/x) for 10<x<20, x/2<Y<X
f(X,Y) = {
_________0, Elsewhere
Find
A| The marginal density of X
B| The conditional density of Y given X=15
C| The probability that the salesperson will be reimbursed at least $10 when spending $15
I found the basics about marginal/conditional density and joint probability in my statitics book. However, for determining the marginal density the probabilities were already given in the book. Therefore only rows or columns were added up in order to determine the marginal density of X and Y. For me this example seems to be more complicated. Furthermore I understood there is a difference in the calculation method on discrete and continuous random variables. I think this example is with continuous variables, is this correct?
I tried to solve the integral and this is my answer:
1/25∫(20-x/x)dx = 1/25 ∫((20/x)-(x/x))dx = 1/25 ∫((20/x)-1)dx
20/25∫((1/x)-1dx=20/25(ln|x|-x)
Hope I can get a solution as I am preparing for my exam.
Thank you in advance!