- Tardigrade
- Question
- Mathematics
- A ship is fitted with three engines E1, E2 and E3 The engines function independently of each other with respective probabilities (1/2), (1/4) and (1/4). For the ship to be operational at least two of its engines must function. Let X denotes the event that the ship is operational and let X1 , X 2 and X 3 denote, respectively the events that the engines E1 , E2 and E3 are functioning. Which of the following is/are true?
Q.
A ship is fitted with three engines $ E_1, E_2$ and $E_3 $ The engines function independently of each other with respective probabilities $\frac {1}{2}, \frac {1}{4}$ and $\frac{1}{4}$. For the ship to be operational at least two of its engines must function.
Let $X$ denotes the event that the ship is operational and let $ X_1 , X _2 $ and $ X_ 3 $ denote, respectively the events that the engines $ E_1 , E_2$ and $E_3 $ are functioning.
Which of the following is/are true?
Solution:
PLAN It is based on law of to ta l probability and Bay 's Law Description of Situation It is given that ship would
work if atleast two of engines must work. If X be event
that the ship works. Then, $X \Rightarrow $ either any two of $E_1 , E_2 ,E_3 $ works or all three engines $ E_1, E_2, E_3 $ works
Given , $P(E_1) = \frac{1}{2} , P(E_2) = \frac{1}{4} ,P(E_3) = \frac{1}{4} $
$\therefore \ \ \ \ \ \ \ \ \ P(X) = \bigg \{ \begin{array}
\ P(E_1 \cap E_2 \cap \overline{E_3}) + P(E_1 \cap \overline{ E_2} \cap E_3) \\
+ P(\overline {E_1} \cap E_2 \cap E_3 ) + P(E_1 \cap E_2 \cap E_3) \\
\end{array} \bigg \}$.
$= \bigg ( \frac{1}{2} . \frac{1}{4} . \frac{3}{4} + \frac{1}{2}. \frac{3}{4}. \frac{1}{4} + \frac{1}{2}. \frac{1}{4}. \frac{1}{4} \bigg ) + \bigg( \frac{1}{2}. \frac{1}{4}. \frac{1}{4} \bigg) \frac{1}{4}$
Now , $(a) P(X_1^c | X) $
$ P\bigg( \frac{ X_1^c \cap X}{P(X)} = \frac{P(\overline {E_1} \cap E_2 \cap E_3 )}{ P(X)} = \frac{ \frac{ 1}{2} . \frac{ 1}{4}. \frac{ 1}{4}}{1} = \frac{ 1}{8} $
$ ( c ) P \bigg( \frac{ X}{X_2} = \frac{ P(X \cap X_2)}{ P( X_2)}$
$= \frac{ P (ship \ is \ operating \ with E _2 \ function)}{P(X_2)}$
$= \frac{ P(E_1 \cap E_2 \cap \overline{E_3}) + P( \overline{E_1} \cap E_2 \cap E_3) + P(E_1 \cap E_2 \cap E_3) }{ P( E _2)}$
$ \frac{ \frac{1}{2}. \frac{1}{4}. \frac{3}{4}+ \frac{1}{2}. \frac{1}{4}. \frac{1}{4}+ \frac{1}{2}. \frac{1}{4}. \frac{1}{4} }{ \frac{1}{4}} = \frac{5}{8}$
(d) $ (PX / X_1) = \frac{ P (X \cap X_1)}{PX_1} $
$ \frac{ \frac{1}{2}. \frac{1}{4}. \frac{1}{4}+ \frac{1}{2}. \frac{3}{4}. \frac{1}{4}+ \frac{1}{2}. \frac{1}{4}. \frac{3}{4}}{ \frac{1}{2}} = \frac{7}{16}$
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