exponential distribution new
DESCRIPTION
pptTRANSCRIPT
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The Exponential Probability Distribution
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The Exponential Probability Distribution
Exponential Probability Density Function
for x > 0, > 0
where = mean e = 2.71828
Cumulative Exponential Distribution Function
where x0 = some specific value of x
f x e x( ) / 1
f x e x( ) / 1
P x x e x( ) / 0 1 o P x x e x( ) / 0 1 o
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Mean and Variance
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Exponential Distribution
.0
1.0
2.0
0 1 2 3 4 5 t
l =
l =
l = 1/2
f(x)=l e-l x, (x > 0).
μλ 1
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5
Exponential Random Variables: Pdf
A simple integration shows that the area under f is 1:
00
0
lim lim
lim 0 1 1
t tx x x
t t
t
t
e dx e dx e
e e
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Random Times
Examples:
• Time until decay of a radioactive atom.
• Lifetime of a circuit.
• Time until a phone call arrives.
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The time between arrivals of cars at Al’s Carwash
follows an exponential probability distribution with a
mean time between arrivals of 3 minutes. Al would like
to know the probability that the time between two
successive arrivals will be 2 minutes or less.
P(x < 2) = 1 - 2.71828-2/3 = 1 - .5134 = .4866
Example: Al’s Carwash
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Example: Al’s Carwash
Graph of the Probability Density Function
xx
F (x )F (x )
.1.1
.3.3
.4.4
.2.2
1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10
P(x < 2) = area = .4866P(x < 2) = area = .4866
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11/5/2003 9
Suppose the wait time X for service at the post office has an exponential distribution with mean 3 minutes. If you enter the post office immediately behind another customer, what is the probability you wait over 5 minutes? Since E(X)=1/=3 minutes, then =1/3, so X~exponential(1/3). We want .
1 55
3 3
( 5) 1 ( 5) 1 (5)
1 1 0.189
P X P X F
e e
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11/5/2003 10
Under the same conditions, what is the probability of waiting between 2 and 4 minutes? Here we calculate .
4 2
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2 4
3 3
(2 4) (4) (2) 1 1
0.250
P X F F e e
e e
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Thank you