Probability — Question 8

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Question 8

A lifetime satisfies P(X>t)=e−(t/5)2P(X>t)=e^{-(t/5)^2}, t≥0t\ge0. Find its density and P(3<X<4)P(3<X<4).

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Original worksheet page 1: question and worked solution for 2-5-008
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Question 8 – Solution

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Step 1: Convert the survival function to the CDF. For t≥0t\ge0, P(X>t)=e−(t/5)2=e−t2/25.P(X>t)=e^{-(t/5)^2}=e^{-t^2/25}. Therefore, F(t)=P(X≤t)=1−P(X>t)=1−e−t2/25.F(t)=P(X\le t)=1-P(X>t)=1-e^{-t^2/25}.

Step 2: Differentiate to obtain the density. f(t)=F′(t)=−ddt(e−t2/25)=2t25e−t2/25,t≥0.\begin{align*} f(t)&=F'(t)\\ &=-\frac{d}{dt}\left(e^{-t^2/25}\right)\\ &=\frac{2t}{25}e^{-t^2/25}, \qquad t\ge0. \end{align*} Also, f(t)=0f(t)=0 for t<0t<0.

Step 3: Compute the interval probability. Using the CDF, P(3<X<4)=F(4)−F(3)=(1−e−16/25)−(1−e−9/25)=e−9/25−e−16/25.\begin{align*} P(3<X<4) &=F(4)-F(3)\\ &=\left(1-e^{-16/25}\right) -\left(1-e^{-9/25}\right)\\ &=e^{-9/25}-e^{-16/25}. \end{align*} P(3<X<4)=e−9/25−e−16/25\boxed{P(3<X<4)=e^{-9/25}-e^{-16/25}} The same result follows by integrating f(t)f(t) from 33 to 44.

Original worksheet page 2: question and worked solution for 2-5-008

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