Let X denote the reaction time, in seconds, to a certain stimulus and Y denote the temperature (°F) at which a certain reaction starts to take place. Suppose that two random variables X and Y have the joint density xy Sx² + ² ,0 < x < 1,0 < y < 2, f(x, y) = 3 elsewhere. 0, a. Verify if it is a valid density function. b. Find P[(X, Y) E A], where A = {(x, y) | 0 1 | X = 12). h. Find P(X> ½ | Y = 1). 1. Determine if the random variables are statistically independent.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter4: Calculating The Derivative
Section4.4: Derivatives Of Exponential Functions
Problem 53E
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Let X denote the reaction time, in seconds, to a certain stimulus and Y denote the temperature (◦F) at which a certain reaction starts to take place. Suppose that two random variables X and Y have the joint density

Let X denote the reaction time, in seconds, to a certain stimulus and Y denote the
temperature (°F) at which a certain reaction starts to take place. Suppose that two
random variables X and Y have the joint density
x² +
f(x, y) =
:{x²
.xy,0 < x < 1,0 < y < 2,
elsewhere.
3
0,
a. Verify if it is a valid density function.
b.
Find P[(X, Y) E A], where A = {(x, y) | 0<x< ½, ¼ <y< ½.
c. Find the marginal density g(x).
d. Find the marginal density h(y).
e. Find the conditional density f(xv).
Find the conditional density f(y\x).
f.
g. Find P(Y> 1 | X = ½).
h.
Find P(X> ½ | Y = 1).
i.
Determine if the random variables are statistically independent.
Transcribed Image Text:Let X denote the reaction time, in seconds, to a certain stimulus and Y denote the temperature (°F) at which a certain reaction starts to take place. Suppose that two random variables X and Y have the joint density x² + f(x, y) = :{x² .xy,0 < x < 1,0 < y < 2, elsewhere. 3 0, a. Verify if it is a valid density function. b. Find P[(X, Y) E A], where A = {(x, y) | 0<x< ½, ¼ <y< ½. c. Find the marginal density g(x). d. Find the marginal density h(y). e. Find the conditional density f(xv). Find the conditional density f(y\x). f. g. Find P(Y> 1 | X = ½). h. Find P(X> ½ | Y = 1). i. Determine if the random variables are statistically independent.
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