Probability MCQ Questions & Answers in Statistics and Probability | Maths
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91.
Three houses are available in a locality. Three persons apply for the houses. Each applies for one house without consulting others. The probability that all the three apply for the same house is
A
$$\frac{2}{9}$$
B
$$\frac{1}{9}$$
C
$$\frac{8}{9}$$
D
$$\frac{7}{9}$$
Answer :
$$\frac{1}{9}$$
For a particular house being selected
Probability $$ = \frac{1}{3}$$
$$P$$ (all the persons apply for the same house)
$$\eqalign{
& = \left( {\frac{1}{3} \times \frac{1}{3} \times \frac{1}{3}} \right)3 \cr
& = \frac{1}{9}. \cr} $$
92.
Three numbers are chosen at random without replacement from $$1,\,2,\,3,\,.....,\,10.$$ The probability that the minimum of the chosen numbers is $$4$$ or their maximum is $$8,$$ is :
A
$$\frac{{11}}{{40}}$$
B
$$\frac{3}{{10}}$$
C
$$\frac{1}{{40}}$$
D
none of these
Answer :
$$\frac{{11}}{{40}}$$
The probability of $$4$$ being the minimum number $$ = \frac{{{}^6{C_2}}}{{{}^{10}{C_3}}}$$ (because, after selecting $$4$$ any two can be selected from $$5,\,6,\,7,\,8,\,9,\,10$$ ).
The probability of $$8$$ being the maximum number $$ = \frac{{{}^7{C_2}}}{{{}^{10}{C_3}}}.$$
The probability of $$4$$ being the minimum number and $$8$$ being the maximum number $$ = \frac{3}{{{}^{10}{C_3}}}$$
$$\therefore $$ the required probability
$$\eqalign{
& = P\left( {A \cup B} \right) \cr
& = P\left( A \right) + P\left( B \right) - P\left( {A \cap B} \right) \cr
& = \frac{{{}^6{C_2}}}{{{}^{10}{C_3}}} + \frac{{{}^7{C_2}}}{{{}^{10}{C_3}}} - \frac{3}{{{}^{10}{C_3}}} \cr
& = \frac{{11}}{{40}}. \cr} $$
93.
A five-digit number is written down at random. The probability that the number is divisible by $$5$$ and no two consecutive digits are identical, is :
A
$$\frac{1}{5}$$
B
$$\frac{1}{5}.{\left( {\frac{9}{{10}}} \right)^3}$$
94.
Amar, Bimal and Chetan are three contestants for an election, odds against Amar will win is $$4 : 1$$ and odds against Bimal will win is $$5 : 1$$ and odds in favor of Chetan will win $$2 : 3$$ then what is probability that either Amar or Bimal or Chetan will win the election :
A
$$\frac{{23}}{{20}}$$
B
$$\frac{{11}}{{30}}$$
C
$$\frac{7}{{10}}$$
D
none of these
Answer :
none of these
From the given information probability that
Amar will win the tournament is $$P\left( A \right) = \frac{1}{5}$$ and Bimal will win $$P\left( B \right) = \frac{1}{6}$$ and same for Chetan is $$P\left( C \right) = \frac{2}{5}.$$
Since these events are mutually exclusive.
95.
$$7$$ white balls and $$3$$ black balls are placed in a row at random. The probability that no two black balls are adjacent is :
A
$$\frac{1}{2}$$
B
$$\frac{7}{{15}}$$
C
$$\frac{2}{{15}}$$
D
$$\frac{1}{3}$$
Answer :
$$\frac{7}{{15}}$$
$$n\left( S \right) = \frac{{10!}}{{\left( {7!} \right)\left( {3!} \right)}}$$
$$n\left( E \right) = {}^8{C_3} = \frac{{8!}}{{\left( {3!} \right)\left( {5!} \right)}},$$ because there are $$8$$ places for $$3$$ black balls.
$$\therefore \,P\left( E \right) = \frac{{\frac{{18!}}{{\left( {3!} \right)\left( {5!} \right)}}}}{{\frac{{10!}}{{\left( {7!} \right)\left( {3!} \right)}}}} = \frac{{\left( {8!} \right)\left( {7!} \right)}}{{\left( {10!} \right)\left( {5!} \right)}} = \frac{{7.6}}{{10.9}} = \frac{7}{{15}}.$$
96.
The probability that the birth days of six different persons will fall in exactly two calendar months is :
A
$$\frac{1}{6}$$
B
$${}^{12}{C_2} \times \frac{{{2^6}}}{{{{12}^6}}}$$
C
$${}^{12}{C_2} \times \frac{{{2^6} - 1}}{{{{12}^6}}}$$
97.
Three digits are chosen at random from $$1,\,2,\,3,\,4,\,5,\,6,\,7,\,8$$ and $$9$$ without repeating any digit. What is the probability that the product is odd ?
A
$$\frac{2}{3}$$
B
$$\frac{7}{{48}}$$
C
$$\frac{5}{{42}}$$
D
$$\frac{5}{{108}}$$
Answer :
$$\frac{5}{{42}}$$
Total number of $$3$$-digit numbers $$ = 9 \times 8 \times 7 = 504$$
For product to be odd, we have to choose only from odd numbers.
$$\therefore $$ Total number of $$3$$-digit number whose product are odd $$ = 5 \times 4 \times 3 = 60$$
$$\therefore $$ Required probability $$ = \frac{{60}}{{504}} = \frac{5}{{42}}$$
98.
Consider 5 independent Bernoulli’s trials each with probability of success $$p.$$ If the probability of at least one failure is greater than or equal to $$\frac{{31}}{{32}},$$ then $$p$$ lies in the interval
A
$$\left( {\frac{3}{4},\frac{{11}}{{12}}} \right]$$
B
$${\left[ {0,\frac{1}{2}} \right]}$$
C
$$\left( {\frac{{11}}{{12}},1} \right]$$
D
$$\left( {\frac{1}{2},\frac{{3}}{{4}}} \right]$$
99.
If $$A$$ and $$B$$ are two events. The probability that at most one of $$A,\,B$$ occurs, is :
A
$$1 - P\left( {A \cap B} \right)$$
B
$$P\left( {\overline A } \right) + P\left( {\overline B } \right) - P\left( {\overline A \cap \overline B } \right)$$
C
$$P\left( {\overline A } \right) + P\left( {\overline B } \right) + P\left( { A \cup B } \right) - 1$$
D
All of these
Answer :
All of these
$$\eqalign{
& {\text{Required probability}} = P\left( {\overline A \cup \overline B } \right) \cr
& = P\left( {\overline {A \cap B} } \right) \cr
& = 1 - P\left( {A \cap B} \right) \cr
& {\text{Again,}} \cr
& = P\left( {\overline A \cup \overline B } \right) \cr
& = P\left( {\overline A } \right) + P\left( {\overline B } \right) - P\left( {\overline A \cap \overline B } \right)\left[ {{\text{ By add}}{\text{. Theorem}}} \right] \cr
& {\text{Again,}} \cr
& = P\left( {\overline A \cup \overline B } \right) \cr
& = P\left( {\overline A } \right) + P\left( {\overline B } \right) - P\left( {\overline A \cap \overline B } \right) \cr
& = P\left( {\overline A } \right) + P\left( {\overline B } \right) - P\left( {\overline {A \cup B} } \right) \cr
& = P\left( {\overline A } \right) + P\left( {\overline B } \right) - \left\{ {1 - P\left( {A \cup B} \right)} \right\} \cr
& = P\left( {\overline A } \right) + P\left( {\overline B } \right) + P\left( {A \cup B} \right) - 1 \cr
& {\text{Finally,}} \cr
& P\left( {\overline A \cup \overline B } \right) = P\left( {A \cap \overline B } \right) \cup \left( {\overline A \cap B} \right) \cup \left( {\overline A \cap \overline B } \right) \cr
& = P\left( {A \cap \overline B } \right) + \left( {\overline A \cap B} \right) + \left( {\overline A \cap \overline B } \right) \cr
& = \left[ {\because \,A \cap \overline B ,\,\overline A \cap B{\text{ and }}\overline A \cap \overline B {\text{ are are mutually exclusive events}}} \right] \cr} $$
So, alternative (D) is the correct answer.
100.
Two dice are thrown. What is the probability that the sum of the faces equals or exceeds $$10\,?$$
A
$$\frac{1}{{12}}$$
B
$$\frac{1}{4}$$
C
$$\frac{1}{3}$$
D
$$\frac{1}{6}$$
Answer :
$$\frac{1}{6}$$
Let $$E$$ be the sum of the faces equals or exceeds. Then,
$$\eqalign{
& E = \left\{ {\left( {5,\,5} \right),\,\left( {4,\,6} \right),\,\left( {6,\,4} \right),\,\left( {5,\,6} \right),\,\left( {6,\,5} \right),\,\left( {6,\,6} \right)} \right\} \cr
& \therefore \,n\left( E \right) = 6 \cr
& {\text{Hence,}}\,\,P\left( E \right) = \frac{{n\left( E \right)}}{{n\left( S \right)}} = \frac{6}{{36}} = \frac{1}{6} \cr} $$