Question
Let X be an exponential random variable with parameter λ.
a) The probability that X > 5 is
a) The probability that X > 5 is
Answers
GPT-4o mini
The exponential random variable \( X \) with parameter \( \lambda \) has the cumulative distribution function (CDF) given by:
\[
F_X(x) = 1 - e^{-\lambda x} \quad \text{for } x \geq 0
\]
To find the probability that \( X > 5 \), we can use the complementary cumulative distribution function (CCDF), which is given by:
\[
P(X > x) = 1 - P(X \leq x) = 1 - F_X(x) = e^{-\lambda x}
\]
For \( x = 5 \), the probability is:
\[
P(X > 5) = e^{-\lambda \cdot 5} = e^{-5\lambda}
\]
So, the probability that \( X > 5 \) is:
\[
P(X > 5) = e^{-5\lambda}
\]
\[
F_X(x) = 1 - e^{-\lambda x} \quad \text{for } x \geq 0
\]
To find the probability that \( X > 5 \), we can use the complementary cumulative distribution function (CCDF), which is given by:
\[
P(X > x) = 1 - P(X \leq x) = 1 - F_X(x) = e^{-\lambda x}
\]
For \( x = 5 \), the probability is:
\[
P(X > 5) = e^{-\lambda \cdot 5} = e^{-5\lambda}
\]
So, the probability that \( X > 5 \) is:
\[
P(X > 5) = e^{-5\lambda}
\]
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