The probability distribution of a random variable \(X\) is modelled as follows.
$$\text{P}(X = x) = \begin{cases}
\frac{k}{x} & x = 1, 2, 3, 4, \\
0 & \text{otherwise,}
\end{cases}$$
where \(k\) is a constant.
- Show that \(k = \frac{12}{25}\). [2]
- Show in a table the values of \(X\) and their probabilities. [1]
- The values of three independent observations of \(X\) are denoted by \(X_1\), \(X_2\) and \(X_3\).
Find P\((X_1 > X_2 + X_3)\). [3]
In a game, a player notes the values of successive independent observations of \(X\) and keeps a running total. The aim of the game is to reach a total of exactly 7.
- Determine the probability that a total of exactly 7 is first reached on the 5th observation. [5]