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2.3 Probability

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Question 82

The continuous random variable TTT is used to model the lifespan in hours, ttt, of a specific type of chemical reactant after it is activated.

The probability that the reactant lasts for more than ttt hours is given by

P(T>t)=100(t+10)2,t≥0 P(T > t) = \frac{100}{(t+10)^2}, \quad t \ge 0 P(T>t)=(t+10)2100​,t≥0
a.

Show that the cumulative distribution function (CDF) of TTT is given by

F(t)={1−100(t+10)2t≥00otherwise F(t) = \begin{cases} 1 - \frac{100}{(t+10)^2} & t \ge 0 \\ 0 & \text{otherwise} \end{cases} F(t)={1−(t+10)2100​0​t≥0otherwise​
[2]
b.

Find the probability that a randomly selected reactant will expire within 5 hours of activation.

[3]
c.

Given that a reactant has already lasted for 5 hours, find the probability that it will last for at least 15 more hours.

[4]
d.

Calculate the number of hours after which only 25%25\%25% of these reactants are expected to remain active.

[3]

2.3 Probability Questions

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