Could you go through the steps in more detail? I am getting confused with the steps.
Homework Answers
The PDF of the uniform random variable 
.
The CDF is 
.
Now the PDF of 
is found using the CDF method.
Now, taking derivatives,
Your answer is right. But you should mention the support (the interval of y).
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Could you go through the steps in more detail? I am getting
confused with the steps....
No idea where they're getting the solution from. Could you go over it in more detail?...
No idea where they're getting the solution from. Could you go
over it in more detail?
Chapter 5. Function of Random Variables Example 3. Given X-Binn,p) and Y = ex. What is the distribution of Y, Py(y)? Solution: The recipe: Py(y) = {Px(g='()) if g otherwise Here, 1 =9-(y) = logy and Px (x) = (?)p" (1 – p)"-", so: „.) (p)logy(1 - p)n-logy when logy is an integer Py(y) = { otherwise Note: Sy = {1,e,e²,...,e"}
I am studying Continuous Random Variables. Hope can some one tell me the solutions of these two problems! II.1 Let X be...
I am studying Continuous Random Variables.
Hope can some one tell me the solutions of these two
problems!
II.1 Let X be a continuous random variable with the density function 1/4 if x E (-2,2) 0 otherwise &Cx)={ Find the probability density function of Z = X density function fx. Find the distribution function Fy (t) and the density function f,(t) of Y=지 (in terms of Fx and fx).
II.1 Let X be a continuous random variable with the density...
Please give detailed steps. Thank you. 2. Consider the following joint distribution of two discrete variables...
Please give detailed steps. Thank you.
2. Consider the following joint distribution of two discrete variables X and Y: fx,y(x, y) 01 2 3 お88 Recall that the marginal distribution of X is defined as: fx(x) and the marginal distribution of Y is defined as fy(v) -xf(i) Find fx(x) and fy(y) in the support of X and Y (or in simpler terms, find 1), P(Y = 0), P(Y-1), P(Y-2) and P(Y P(X-0), P(X 3)) b. The conditional density of Y...
Reserve Problems Chapter 5 Section 4 Problem 3 Suppose that X and Y are independent continuous...
Reserve Problems Chapter 5 Section 4 Problem 3 Suppose that X and Y are independent continuous random variables. Show that oxy o If X and Y are independant, then fxy (x, y) = – fx (x) - and the range of (X, Y) is rectangular. Therefore, fyy) / xyfx (x) dx E(X) fy(x) [fy(x) dx E(Y) Hence, Oxy = 0 Fan- | | C = 15 If X and Y are independant, then fxx (x, y) = fx (x) +fy...
Question 4 [15 marks] The random variables X1,... , Xn are independent and identically distributed with...
Question 4 [15 marks] The random variables X1,... , Xn are independent and identically distributed with probability function Px (1 -px)1 1-2 -{ 0,1 fx (x) ; otherwise, 0 while the random variables Yı,...,Yn are independent and identically dis- tributed with probability function = { p¥ (1 - py) y 0,1,2 ; otherwise fy (y) 0 where px and py are between 0 and 1 (a) Show that the MLEs of px and py are Xi, n PY 2n (b)...
5. Suppose X has the Rayleigh density otherwise 0, a. Find the probability density function for Y...
5. Suppose X has the Rayleigh density otherwise 0, a. Find the probability density function for Y-X using Theorem 8.1.1. b. Use the result in part (a) to find E() and V(). c. Write an expression to calculate E(Y) from the Rayleigh density using LOTUS. Would this be easier or harder to use than the above approach? of variables in one dimension). Let X be s Y(X), where g is differentiable and strictly incr 1 len the PDF of Y...
7. The random variables X and Y have joint probability density function f given by 1...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
7. The random variables X and Y have joint probability density function f given by 1...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
I have the answers for this question, however I don't understand part C - in particular...
I have the answers for this question, however I don't understand
part C - in particular why it seems to be double f(x) and the
variable change to u?
Question 3. Unit Conversion [16 marks] The temperature X in degrees Fahrenheit (F) of a particular chemical reaction is known to be distributed between 220 and 280 degrees with a probability density function of fx(x) = (x – 190)/3600. A value of X degrees Fahrenheit can be converted to Y degrees...
May you please explain all steps? I want to understand this and am so confused. Thanks!...
May you please explain all steps? I want to
understand this and am so confused.
Thanks!
1. (25 pts) Let F(x, y, z) = (2xy + 25)i + (4.r?y3 + 2yz?)j + (5.624 + 3y222)k and let C be the curve given parametrically by r(t) = (3t+1)i + tºj + 5tk for 0 <t<1. Evaluate the line integral (Fd
No idea where they're getting the solution from. Could you go
over it in more detail?
Chapter 5. Function of Random Variables Example 3. Given X-Binn,p) and Y = ex. What is the distribution of Y, Py(y)? Solution: The recipe: Py(y) = {Px(g='()) if g otherwise Here, 1 =9-(y) = logy and Px (x) = (?)p" (1 – p)"-", so: „.) (p)logy(1 - p)n-logy when logy is an integer Py(y) = { otherwise Note: Sy = {1,e,e²,...,e"}
I am studying Continuous Random Variables.
Hope can some one tell me the solutions of these two
problems!
II.1 Let X be a continuous random variable with the density function 1/4 if x E (-2,2) 0 otherwise &Cx)={ Find the probability density function of Z = X density function fx. Find the distribution function Fy (t) and the density function f,(t) of Y=지 (in terms of Fx and fx).
II.1 Let X be a continuous random variable with the density...
Please give detailed steps. Thank you.
2. Consider the following joint distribution of two discrete variables X and Y: fx,y(x, y) 01 2 3 お88 Recall that the marginal distribution of X is defined as: fx(x) and the marginal distribution of Y is defined as fy(v) -xf(i) Find fx(x) and fy(y) in the support of X and Y (or in simpler terms, find 1), P(Y = 0), P(Y-1), P(Y-2) and P(Y P(X-0), P(X 3)) b. The conditional density of Y...
Reserve Problems Chapter 5 Section 4 Problem 3 Suppose that X and Y are independent continuous random variables. Show that oxy o If X and Y are independant, then fxy (x, y) = – fx (x) - and the range of (X, Y) is rectangular. Therefore, fyy) / xyfx (x) dx E(X) fy(x) [fy(x) dx E(Y) Hence, Oxy = 0 Fan- | | C = 15 If X and Y are independant, then fxx (x, y) = fx (x) +fy...
Question 4 [15 marks] The random variables X1,... , Xn are independent and identically distributed with probability function Px (1 -px)1 1-2 -{ 0,1 fx (x) ; otherwise, 0 while the random variables Yı,...,Yn are independent and identically dis- tributed with probability function = { p¥ (1 - py) y 0,1,2 ; otherwise fy (y) 0 where px and py are between 0 and 1 (a) Show that the MLEs of px and py are Xi, n PY 2n (b)...
5. Suppose X has the Rayleigh density otherwise 0, a. Find the probability density function for Y-X using Theorem 8.1.1. b. Use the result in part (a) to find E() and V(). c. Write an expression to calculate E(Y) from the Rayleigh density using LOTUS. Would this be easier or harder to use than the above approach? of variables in one dimension). Let X be s Y(X), where g is differentiable and strictly incr 1 len the PDF of Y...
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
7. The random variables X and Y have joint probability density function f given by 1 for x > 0, |y| 0 otherwise. 1-x, Below you find a diagram highlighting the (r, y) pairs for which the pdf is 1 (a) Calculate the marginal probability density function fx of X (b) Calculate the marginal cumulative distribution function Fy of Y (c) Are X and Y independent? Explain.
I have the answers for this question, however I don't understand
part C - in particular why it seems to be double f(x) and the
variable change to u?
Question 3. Unit Conversion [16 marks] The temperature X in degrees Fahrenheit (F) of a particular chemical reaction is known to be distributed between 220 and 280 degrees with a probability density function of fx(x) = (x – 190)/3600. A value of X degrees Fahrenheit can be converted to Y degrees...
May you please explain all steps? I want to
understand this and am so confused.
Thanks!
1. (25 pts) Let F(x, y, z) = (2xy + 25)i + (4.r?y3 + 2yz?)j + (5.624 + 3y222)k and let C be the curve given parametrically by r(t) = (3t+1)i + tºj + 5tk for 0 <t<1. Evaluate the line integral (Fd
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