Asked by Mehtab Qayyum on Sep 28, 2024
Verified
If the random variable X is exponentially distributed with parameter λ = 1.5,then the probability P(2 ≤ X ≤ 4) ,up to 4 decimal places,is
A) 0.6667
B) 0.0473
C) 0.5000
D) 0.2500
Exponentially Distributed
Describes the time between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate.
Random Variable
This refers to a variable where its values are linked to the outputs of unpredictable phenomena.
- Analyze the probabilistic outcomes inherent in exponential distributions.
- Determine the role of λ within exponential distributions and understand how it relates to the mean and variance.
Verified Answer
RB
Radical BirthWorkerabout 15 hours ago
Final Answer :
B
Explanation :
The probability density function (pdf) for an exponential distribution with parameter λ is given by:
f(x) = λe^(-λx), for x ≥ 0
Therefore, for our problem, we have:
P(2 ≤ X ≤ 4) = ∫2^4 λe^(-λx) dx
Using integration by substitution, we can simplify this to:
P(2 ≤ X ≤ 4) = (-1/λ) [e^(-λx)]2^4
= (-1/1.5) [e^(-1.5*4) - e^(-1.5*2)]
≈ 0.0473 (rounded to 4 decimal places)
Therefore, the answer is B.
f(x) = λe^(-λx), for x ≥ 0
Therefore, for our problem, we have:
P(2 ≤ X ≤ 4) = ∫2^4 λe^(-λx) dx
Using integration by substitution, we can simplify this to:
P(2 ≤ X ≤ 4) = (-1/λ) [e^(-λx)]2^4
= (-1/1.5) [e^(-1.5*4) - e^(-1.5*2)]
≈ 0.0473 (rounded to 4 decimal places)
Therefore, the answer is B.
Learning Objectives
- Analyze the probabilistic outcomes inherent in exponential distributions.
- Determine the role of λ within exponential distributions and understand how it relates to the mean and variance.
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