The cumulative distribution function (CDF) for the exponential distribution is given as: P(X < x) = F(x) = 1 - e-x/μ where u is the mean. For an exponential distribution with u = 10, find P(4 < x < 10). a. 0.330 Ob. 0.632 O C. 0.962 O d. 0.302
The cumulative distribution function (CDF) for the exponential distribution is given as: P(X < x) = F(x) = 1 - e-x/μ where u is the mean. For an exponential distribution with u = 10, find P(4 < x < 10). a. 0.330 Ob. 0.632 O C. 0.962 O d. 0.302
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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
Transcribed Image Text:The cumulative distribution function (CDF) for the exponential distribution is given as:
P(X<X) = F(x) = 1 - e-x/u
where u is the mean.
For an exponential distribution with u = 10, find P(4 < x < 10).
a. 0.330
Ob. 0.632
Oc. 0.962
O d. 0.302
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