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For a group of students, the time taken to get to school, in minutes, is a continuous random variable, [math: T] .  The probability distribution for [math: T] is given by: [math: f(t)={−14500t(t−30),0≤t≤300,elsewhere] f(t)= \begin{cases} -\frac{1}{4500} t(t-30)\:\:,\:\: 0 \leq{t} \leq30 \\ \:\:\:\:\:0\:\:,\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:elsewhere \end{cases} . It is known that the slowest 10% of students take more than [math: k] minutes to get to school, i.e. [math: Pr(T>k)=0.1] Which of the following is closest to the value of [math: k] ?

Options
A.A. 21 minutes
B.B. 6 minutes
C.C. 28 minutes
D.D. 24 minutes
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Step-by-Step Analysis
We start by restating the setup and the given probability density function (PDF) for T, the time to get to school. - The PDF is f(t) = (-14500t(t−30)) / 1, for 0 ≤ t ≤ 30, and 0 elsewhere. This is equivalently written as f(t) = ( -t^2 + 30t ) / 4500 on 0 ≤ t ≤ 30. The function is zero outside the interval [0,30]. - First, verify it integrates to 1 to ensure it is a valid PDF: ∫ from 0 to 30 of ( -t^2 + 30t ) / 4500 dt = (1/4500)[ -t^3/3 + 15t^2 ] from 0 to 30. Plugging t = 30 gives (1/4500)[ -27000/3 + 15·900 ] = (1/4500)[ -9000 + 13500 ] = 1. So the PDF is valid. Next, we derive the CDF F(t......Login to view full explanation

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