Let X be a continuous random variable with density function, f(x)= \beginaligned 1/3
12. Let \(\mathrm{X}\) be a continuous random variable with density function,
\(f\left( x \right)=\left\{ \begin{aligned}
& \,\,\frac{1}{3}\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,0<x\le 1 \\
& \,\,\frac{5-x}{12}\,\,\,\,\,\,\,\,\,\,\,\,\,1<x<5 \\
& \\
& \,\,\,0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\text{otherwise} \\
\end{aligned} \right.\)
- Find \(\mathrm{P}(1 / 2<\mathrm{X}<3)\).
- Find \(\mathrm{P}(2<\mathrm{X}<6)\).
- Find the mean of \(X\), i.e. \(E(X)\).
- Find the first quartile, \(Q_{1}\).
- Find the third quartile, \(\mathrm{Q}_{3}\).
13. a. Toss a fair coin twice. Let A be the event "head on the first toss". Let B be the event "both tosses have the same outcome". Are A and B independent events?
Which independence (dependence) criterion will you use? Write all events and the probabilities associated with these events.
Show your calculations to prove independence or dependence.
Problem 14: Al, Bob and Clifford go out for coffee. They play the following game to determine which one of the three pays for all three coffees.
Round 1: First Al, then Bob, and finally Clifford flip a fair coin. If there is an "odd man" i.e. odd man with a tail while the other two show a head, or odd man with a head while the other two show tail, the odd man pays the check
Round 2: If all three show a head or if all three show a tail, repeat the sequence as in round 1.
Additional rounds are played until there is an odd man. Let X be the number of rounds until the odd man is determined. What kind of special random variable is X ?
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