In a large metropolitan area, the probabilities are $0.87,0.36,0.30$ that a family (randomly chosen for a sample survey) owns a colour television set, a black and white television set or both kinds of sets. What is the probability that a family owns either anyone or both kinds of sets?
Let $E_1$ be the event that family own colour television set and $E_2$ be the event that family owns a black and white television set.
$$\begin{aligned} \text{It is given that,}\quad P\left(E_1\right) & =0.87 \\ P\left(E_2\right) & =0.36 \\ \text{and}\quad P\left(E_1 \cap E_2\right) & =0.30 \end{aligned}$$
We have to find probability that a family owns either anyone or both kind of sets i.e., $P\left(E_1 \cup E_2\right)$.
$$\begin{aligned} \text{Now,}\quad P\left(E_1 \cup E_2\right) & =P\left(E_1\right)+P\left(E_2\right)-P\left(E_1 \cap E_2\right) \quad \text{by addition theorem]}\\ & =0.87+0.36-0.30 \\ & =0.93 \end{aligned}$$
If $A$ and $B$ are mutually exclusive events, $P(A)=0.35$ and $P(B)=0.45$, then find
(i) $P\left(A^{\prime}\right)$
(ii) $P\left(B^{\prime}\right)$
(iii) $P(A \cup B)$
(iv) $P(A \cap B)$
(v) $P\left(A \cap B^{\prime}\right)$
(vi) $P\left(A^{\prime} \cap B^{\prime}\right)$
$$\begin{aligned} &\text { Since, it is given that, } A \text { and } B \text { are mutually exclusive events. }\\ &\begin{aligned} & \therefore \quad P(A \cap B)=0 \quad {[\because A \cap B=\phi]} \\ & \text { and } \quad P(A)=0.35, P(B)=0.45 \end{aligned} \end{aligned}$$
(i) $P\left(A^{\prime}\right)=1-P(A)=1-0.35=0.65$
(ii) $P\left(B^{\prime}\right)=1-P(B)=1-0.45=0.55$
(iii) $P(A \cup B)=P(A)+P(B)-P(A \cap B)=0.35+0.45-0=0.80$
(iv) $P(A \cap B)=0$
(v) $P\left(A \cap B^{\prime}\right)=P(A)-P(A \cap B)=0.35-0=0.35$
(vi) $P\left(A^{\prime} \cap B^{\prime}\right)=P(A \cup B)^{\prime}=1-P(A \cup B)=1-0.8=0.2$
A team of medical students doing their internship have to assist during surgeries at a city hospital. The probabilities of surgeries rated as very complex, complex, routine, simple or very simple are respectively, 0.15 , $0.20,0.31,0.26$ and 0.08 . Find the probabilities that a particular surgery will be rated
(i) complex or very complex.
(ii) neither very complex nor very simple.
(iii) routine or complex.
(iv) routine or simple.
Let $E_1, E_2, E_3, E_4$ and $E_5$ be the event that surgeries are rated as very complex, complex, routine, simple or very simple, respectively.
$$\therefore \quad P\left(E_1\right)=0.15, P\left(E_2\right)=0.20, P\left(E_3\right)=0.31, P\left(E_4\right)=0.26, P\left(E_5\right)=0.08$$
$$\begin{aligned} & \text { (i) } P \text { (complex or very complex })=P\left(E_1 \text { or } E_2\right) \\ & =P\left(E_1 \cup E_2\right)=P\left(E_1\right)+P\left(E_2\right)-P\left(E_1 \cap E_2\right) \\ & =0.15+0.20-0\left[P\left(E_1 \cap E_2\right)=0\right. \\ & \text { because all events are independent] } \\ & =0.35 \end{aligned}$$
(ii) $P$ (neither very complex nor very simple), $\left(P\left(E_1^{\prime} \cap E_5^{\prime}\right)=P\left(E_1 \cup E_5\right)^{\prime}\right.$
$$\begin{aligned} & =1-P\left(E_1 \cup E_5\right) \\ & =1-\left[P\left(E_1\right)+P\left(E_5\right)\right] \\ & =1-(0.15+0.08) \\ & =1-0.23 \\ & =0.77 \end{aligned}$$
(iii) $P$ (routine or complex) $=P\left(E_3 \cup E_2\right)=P\left(E_3\right)+P\left(E_2\right)$
$$=0.31+0.20=0.51$$
(iv) $P$ (routine or simple)
$$\begin{aligned} & =P\left(E_3 \cup E_4\right)=P\left(E_3\right)+P\left(E_4\right) \\ & =0.31+0.26=0.57 \end{aligned}$$
Four candidates $A, B, C$ and $D$ have applied for the assignment to coach a school cricket team. If $A$ is twice as likely to be selected as $B$ and $B$ and $C$ are given about the same chance of being selected, while $C$ is twice as likely to be selected as $D$, then what are the probabilities that
(i) $C$ will be selected?
(ii) A will not be selected?
It is given that $A$ is twice as likely to be selected as $D$.
$$\begin{array}{ll} & P(A)=2 P(B) \\ \Rightarrow \quad & \frac{P(A)}{2}=P(B) \end{array}$$
while $C$ is twice as likely to be selected as $D$.
$$\begin{aligned} & P(C)=2 P(D) \Rightarrow P(B)=2 P(D) \\ & \frac{P(A)}{2}=2 P(D) \Rightarrow P(D)=\frac{P(A)}{4} \end{aligned}$$
$B$ and $C$ are given about the same chance of being selected.
$$P(B)=P(C)$$
$$\begin{aligned} &\text { Now, } \quad \text { sum of probability }=1\\ &\begin{array}{l} P(A)+P(B)+P(C)+P(D) =1 \\ P(A)+\frac{P(A)}{2}+P \frac{(A)}{2}+\frac{P(A)}{4} =1 \\ \Rightarrow \quad \frac{4 P(A)+2 P(A)+2 P(A)+P(A)}{4} =1 \\ \Rightarrow \quad 9 P(A) =4 \Rightarrow P(A)=\frac{4}{9} \end{array} \end{aligned}$$
$$\begin{aligned} \text { (i) } \quad P(C \text { will be selected })=P(C)=P(B)= & \frac{P(A)}{2} \\ & =\frac{4}{9 \times 2} \quad\left[\because P(A)=\frac{9}{4}\right] \\ & =\frac{2}{9} \end{aligned}$$
(ii) $P(A$ will not be selected)$=P(A')=1-P(A)=1-\frac{4}{9}=\frac{5}{9}$
One of the four persons John, Rita, Aslam or Gurpreet will be promoted next month. Consequently the sample space consists of four elementary outcomes $S=\{$ John promoted, Rita promoted, Aslam promoted, Gurpreet promoted\}. You are told that the chances of John's promotion is same as that of Gurpreet Rita's chances of promotion are twice as likely as Johns. Aslam's chances are four times that of John.
(i) Determine
$P$ (John promoted), $\quad P$ (Rita promoted), $P$ (Aslam promoted), $\quad P$ (Gurpreet promoted).
(ii) If $A=\{$ John promoted or Gurpreet promoted $\}$, find $P(A)$
Let $E_1=$ John promoted
$E_2=$ Rita promoted
$E_3=$ Aslam promoted
$E_4=$ Gurpreet promoted
Given, sample space, S = {John promoted, Rita promoted, Aslam promoted, Gurpreet promoted}
i.e., $$S=\left\{E_1, E_2, E_3, E_4\right\}$$
It is given that, chances of John's promotion is same as that of Gurpreet.
$$P\left(E_1\right)=P\left(E_4\right)$$
Rita's chances of promotion are twice as likely as John.
$$P\left(E_2\right)=2 P\left(E_1\right)$$
$$\begin{aligned} &\text { And Aslam's chances of promotion are four times that of John. }\\ &\begin{array}{l} & P\left(E_3\right) =4 P\left(E_1\right) \\ \text { Now, } & P\left(E_1\right)+P\left(E_2\right)+P\left(E_3\right)+P\left(E_4\right) =1 \\ \Rightarrow & P\left(E_1\right)+2 P\left(E_1\right)+4 P\left(E_1\right)+P\left(E_1\right) =1 \\ \Rightarrow & 8 P\left(E_1\right) =1 \\ \therefore & P\left(E_1\right)=\frac{1}{8} \end{array} \end{aligned}$$
$$\begin{aligned} & \text { (i) } P(\text { John promoted })=P\left(E_1\right)=\frac{1}{8} \\ & P(\text { Rita promoted })=P\left(E_2\right)=2 P\left(E_1\right)=2 \times \frac{1}{8}=\frac{2}{8}=\frac{1}{4} \\ & P(\text { Aslam promoted })=P\left(E_3\right)=4 P\left(E_1\right)=4 \times \frac{1}{8}=\frac{1}{2} \\ & P(\text { Gurpreet promoted })=P\left(E_4\right)=P\left(E_1\right)=\frac{1}{8} \end{aligned}$$
$$\begin{aligned} &\text { (ii) } A=\text { John promoted or Gurpreet promoted }\\ &\begin{aligned} & A=E_1 \cup E_4 \\ & P(A)=P\left(E_1 \cup E_4\right)=P\left(E_1\right)+P\left(E_4\right)-P\left(E_1 \cap E_4\right) \\ & =\frac{1}{8}+\frac{1}{8}-0 \quad {\left[\because P\left(E_1 \cap E_4\right)=0\right]} \\ & =\frac{2}{8}=\frac{1}{4} \end{aligned} \end{aligned}$$