Independent solution

How to solve this Exponential Distribution question

Answer in brief

An exponential variable with mean 2.5 has rate 0.4. Its probability of exceeding 2.5 is exp[-(0.4)(2.5)]=exp(-1), so the correct response is choice B.

Setup

Setup

Convert the exponential mean into the corresponding rate parameter.

λ=12.50=0.40\lambda=\frac{1}{2.50}=0.40

Model

Model

The question asks for an upper-tail probability, so use the exponential survival function rather than its complement.

S(t)=Pr(Xt)=eλtS(t)=\Pr(X\ge t)=e^{-\lambda t}

Compute

Compute

At a time equal to the distribution's mean, the rate-time product equals one.

Pr(X2.50)=e(0.40)(2.50)=e1\Pr(X\ge2.50)=e^{-(0.40)(2.50)}=e^{-1}
e1=0.3678794412e^{-1}=0.3678794412\ldots

Answer

Answer

The required survival probability is the exponential constant e to the power negative one.

e1(B)\boxed{e^{-1}\quad\text{(B)}}