Introduction to Probability and Statistics for Engineers and Scientists

(Sean Pound) #1

5.4The Uniform Random Variable 167


Because


1 =


R

f(x,y)dx dy

=


R

cdxdy

=c×Area ofR

it follows that


c=

1
Area ofR

For any regionA⊂R,


P{(X,Y)∈A}=

∫∫

(x,y)∈A

f(x,y)dx dy

=

∫∫

(x,y)∈A

cdxdy

=

Area ofA
Area ofR

Suppose now thatX,Yis uniformly distributed over the following rectangular regionR:


0, b a, b

0, 0 a, 0

R

Its joint density function is


f(x,y)=

{
c if 0≤x≤a,0≤y≤b
0 otherwise

wherec=Area of rectangle^1 =ab^1. In this case,XandYare independent uniform random


variables. To show this, note that for 0≤x≤a,0≤y≤b


P{X≤x,Y≤y}=c

∫x

0

∫y

0

dy dx=

xy
ab

(5.4.5)
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