Self Studies

Probability Test - 48

Result Self Studies

Probability Test - 48
  • Score

    -

    out of -
  • Rank

    -

    out of -
TIME Taken - -
Self Studies

SHARING IS CARING

If our Website helped you a little, then kindly spread our voice using Social Networks. Spread our word to your readers, friends, teachers, students & all those close ones who deserve to know what you know now.

Self Studies Self Studies
Weekly Quiz Competition
  • Question 1
    1 / -0
    One Indian and four American men and their wives are to be seated randomly around a circular table. Then, the conditional probability that the Indian man is seated adjacent to his wife given that each American man is seated adjacent to his wife is 
    Solution
    Let $$E=$$ event when each American man is seated adjacent to his wife.
    $$A = $$event when Indian man is seated adjacent to his wife.
    So, there are 5 couples out of which 4 are American and 1 is Indian.

    Now, $$n(A\cap E)=4!(2!)^{5}$$. (Each couple is taken together as one entity, so we have total $$5$$ things to be arranged in a circle, which can be done in $$(5-1)!=4!$$ number of ways. Also, each couple as one entity can be seated in $$2$$ ways.)

    And $$n(E)=5!(2!)^{4}$$ (Each American couple is taken as one entity, and an Indian man and woman separately. Hence, the arrangement of $$6$$ things in a circle$$=5!$$. Also each American couple as one entity can be seated in $$2$$ ways. )

    So, $$P(A|E)=\displaystyle \frac{n(A\cap E)}{n(E)}$$
    $$\Rightarrow P(A|E)=\displaystyle \frac {4!(2!)^{5}}{5!(2!)^{4}}$$
    $$\Rightarrow  P(A|E)=\displaystyle \frac{2}{5}$$
  • Question 2
    1 / -0
    Each of the $$n$$ urns contains $$4$$ white and $$6$$ black balls. The $$(n+1)th$$ urn contains $$5$$ white and $$5$$ black balls. Out of the $$(n+1)$$ urns is chosen an urn at random and two balls are drawn from it without replacement. Both the balls turn out to be black. If the probability that the $$(n+1)th$$ urn was chosen to draw the ball is $$\displaystyle \frac { 1 }{ 6 } $$, then the value of $$n$$ is
    Solution
    Let $${ E }_{ 1 }:$$ event that one of the first $$n$$ urn is chosen 
    $${ E }_{ 2 }:$$ event that $$(n+1)th$$ urn is chosen
    $$A:$$ The vent that the two balls drawn from the urn without replacement are black.
    Then we have $$\displaystyle P\left( { E }_{ 1 } \right) =\frac { n }{ n+1 } ,P\left( { E }_{ 2 } \right) =\frac { 1 }{ n+1 } $$
    $$\displaystyle P\left( \frac { A }{ { E }_{ 1 } }  \right) =\frac { _{  }^{ 6 }{ { C }_{ 2 } } }{ _{  }^{ 10 }{ { C }_{ 2 } } } =\frac { 1 }{ 3 } $$ and $$\displaystyle P\left( \frac { A }{ { E }_{ 2 } }  \right) =\frac { _{  }^{ 5 }{ { C }_{ 2 } } }{ _{  }^{ 10 }{ { C }_{ 2 } } } =\frac { 2 }{ 9 } $$
  • Question 3
    1 / -0
    A box contains  $$100$$  tickets numbered  $$1, 2, ....., 100$$. Two tickets are chosen at random. It is given that the minimum number on the two chosen tickets is not more than  $$10$$. The maximum number on them is  $$5$$  with probability.....
    Solution
    Let $$A$$ be the event that the maximum number on the two chosen tickets is not more than $$10$$, and B be the event that the maximum number on them is $$5.$$
    $$\displaystyle \therefore P\left( A\cap B \right) =\frac { _{  }^{ 5 }{ { C }_{ 1 } } }{ ^{ 100 }{ { C }_{ 2 } } } $$ and $$\displaystyle P\left( A \right) =\frac { _{  }^{ 10 }{ { C }_{ 2 } } }{ ^{ 100 }{ { C }_{ 2 } } } $$
    Then $$\displaystyle P\left( \frac { B }{ A }  \right) =\frac { P\left( A\cap B \right)  }{ P\left( A \right)  } =\frac { _{  }^{ 5 }{ { C }_{ 1 } } }{ ^{ 10 }{ { C }_{ 2 } } } =\frac { 1 }{ 9 } $$
  • Question 4
    1 / -0
    An unbiased coin is tossed. if the result is a head, a pair of unbiased dice is rolled & the number obtained by adding the numbers on the two faces is noted. If the result is a tail, a card from a well shuffled pack of eleven cards numbered  $$2, 3, 4,...., 12$$  is picked & the number on the card is noted. What is the probability that the noted number is either $$7$$  or $$8 $$?
    Solution
    Let, $${ E }_{ 1 }$$ be the event noted number is $$7$$.
    $${ E }_{ 2 }$$ be the event noted number is $$8$$.
    $$H$$ be getting head on coin.
    $$T$$ be getting tail on coin.

    Therefore By law of total probability,
    $$\displaystyle P\left( { E }_{ 1 } \right) =P\left( H \right) .P\left( \frac { { { E }_{ 1 } } }{ H }  \right) +P\left( T \right) P\left( \frac { { E }_{ 1 } }{ T }  \right) $$

     and $$\displaystyle P\left( { E }_{ 2 } \right) =P\left( H \right) .P\left( \frac { { E }_{ 2 } }{ H }  \right) +P\left( T \right) .P\left( \frac { { E }_{ 2 } }{ T }  \right) $$

    where $$\displaystyle P\left( H \right) =\frac { 1 }{ 2 } =P\left( T \right) $$

    $$\displaystyle P\left( \frac { { E }_{ 1 } }{ H }  \right) =$$ Probability of getting a sum of $$7$$ on two dice.

    Here, favorable cases are $$\left\{ \left( 1,6 \right) \left( 6,1 \right) ,\left( 2,5 \right) ,\left( 5,2 \right) ,\left( 3,4 \right) ,\left( 4,3 \right)  \right\} $$.

    $$\displaystyle \therefore P\left( \frac { { E }_{ 1 } }{ H }  \right) =\frac { 6 }{ 36 } =\frac { 1 }{ 6 } $$

    Also, $$\displaystyle P\left( \frac { { E }_{ 1 } }{ T }  \right) =$$ Probability of getting $$7$$ numbered card out of $$11$$ cards $$\displaystyle =\frac { 1 }{ 11 } $$.

    $$\displaystyle P\left( \frac { { E }_{ 2 } }{ H }  \right) =$$ Probability of getting a sum of $$8$$ on two dice, here favorable cases are $$\left\{ \left( 2,6 \right) ,\left( 6,2 \right) ,\left( 4,4 \right) ,\left( 5,3 \right) ,\left( 3,5 \right)  \right\} $$

    $$\displaystyle \therefore P\left( \frac { { E }_{ 2 } }{ H }  \right) =\frac { 5 }{ 36 } $$

    $$\displaystyle P\left( \frac { { E }_{ 2 } }{ T }  \right) =$$ Probability of getting $$8$$ numbered card out of $$11$$ cards $$\displaystyle =\frac { 1 }{ 11 } $$

    $$\displaystyle \therefore P\left( { E }_{ 1 } \right) =\left( \frac { 1 }{ 2 } \times \frac { 1 }{ 6 }  \right) +\left( \frac { 1 }{ 2 } \times \frac { 1 }{ 11 }  \right) =\frac { 1 }{ 12 } +\frac { 1 }{ 22 } =\frac { 17 }{ 132 } $$

    and $$\displaystyle P\left( { E }_{ 2 } \right) =\left( \frac { 1 }{ 2 } \times \frac { 5 }{ 36 }  \right) +\left( \frac { 1 }{ 2 } \times \frac { 1 }{ 11 }  \right) =\frac { 1 }{ 2 } \left[ \frac { 91 }{ 396 }  \right] =\frac { 91 }{ 729 } $$

    Now $${ E }_{ 1 }$$ and $${ E }_{ 2 }$$ are mutually exclusive events.
    Therefore, $$\displaystyle P\left( { E }_{ 1 }or{ E }_{ 2 } \right) =P\left( { E }_{ 1 } \right) +P\left( { E }_{ 2 } \right) =\frac { 17 }{ 132 } +\frac { 91 }{ 792 } =\frac { 193 }{ 792 } $$  
  • Question 5
    1 / -0
    A lot of contains $$20$$ articles. The probability that the lot contains exactly $$2$$ defective articles is $$0.4$$ and the probability that the lot contains exactly $$3$$ defective articles is $$0.6$$. Articles are drawn from the lot at random one by one without replacement and are tested till all defective articles are found. What is the probability that the testing procedure ends at the twelfth testing?
    Solution
    $${\textbf{Step -1: Assume events, probability and write their values.}}$$

                     $${\text{Let}}$$ $$A_1 =$$ $${\text{The event that the lot contain 2 defective articles.}}$$

                     $${\text{Let}}$$ $$A_2 =$$ $${\text{The event that the lot contain 3 defective articles.}}$$

                     $${\text{Let}}$$ $$A =$$ $${\text{The event that the testing procedure ends with the twelfth testing.}}$$

                     $${\text{Now,}}$$ $$P(A_1) = 0.4$$  $${\text{and}}$$  $$P(A_2) = 0.6$$

                     $${\text{The testing procedure ending at the twelfth testing means that one defective article must be}}$$

                     $${\text{found in the first eleven testing and the remaining one must be found at the twelfth testing,}}$$

                     $${\text{in case the lot contains 2 defective articles.}}$$

    $${\textbf{Step -2: Find probability using combination method.}}$$

                     $${\text{So,}}$$ $$P( \dfrac{A}{A_1}) = \dfrac{^2C_1 \times ^{18}C_{10}}{^{20}C_{11}} \times \dfrac{1}{9}$$

                     $${\text{Similarly,}}$$ $$P( \dfrac{A}{A_2}) = \dfrac{^3C_2 \times ^{17}C_{7}}{^{20}C_{11}} \times \dfrac{1}{9}$$

    $${\textbf{Step -3: Find probability.}}$$

                      $${\text{Thus, the required probability is:}}$$

                      $$P(A) = P(A \cap A_!) + P(A \cap A_2)$$

                      $$= P(A_1).P( \dfrac{A}{A_1})$$ $$+ P(A_2).P( \dfrac{A}{A_2})$$

                      $$=0.4 \times \dfrac{^2C_1 \times ^{18}C_{10}}{^{20}C_{11}} \times \dfrac{1}{9} + 0.6 \times \dfrac{^3C_2 \times ^{17}C_{7}}{^{20}C_{11}} \times \dfrac{1}{9}$$

                      $$=0.4 \times \dfrac{11}{190} + 0.6 \times \dfrac{11}{228}$$

                      $$= \dfrac{44}{1900} + \dfrac{66}{2280}$$

                      $$= \dfrac{99}{1900}$$

    $${\textbf{Thus, the probability that the testing procedure ends at the twelfth testing is}}$$ $$ \boldsymbol{\dfrac{99}{1900}}.$$
  • Question 6
    1 / -0
    There are $$4$$ white and $$3$$ black balls in a box. In another box there are $$3$$ white and $$4$$ black balls. An unbiased dice is rolled. If it shows a number less than or equal to $$3$$, then a ball is drawn from the first box, but if it shows a number more than $$3$$, then a ball is drawn from the second box. If the ball drawn is black, then the probability that the ball was drawn from the first box is
    Solution
    Probability of choosing the first box $$= \dfrac { 3 }{ 6 } =\dfrac { 1 }{ 2 } $$
    Probability of choosing the second box $$ = \dfrac { 3 }{ 6 } =\dfrac { 1 }{ 2 } $$
    Probability of choosing a black ball
    $$= $$(Probability of choosing the first bag * Probability of choosing black)
    $$+$$ (Probability of choosing the second bag * Probability of choosing black)
     $$= \left (\dfrac { 1 }{ 2 } \times \dfrac { 3 }{ 7 } \right)+ \left(\dfrac { 1 }{ 2 } \times \dfrac { 4 }{ 7 } \right)$$
    $$=\dfrac { 1 }{ 2 }$$
    Now,
    $$P\left(\dfrac { ball\quad chosen\quad from\quad first\quad box }{ chosen\quad ball\quad is\quad black } \right)$$

    $$=\dfrac { P((ball\quad chosen\quad from\quad first\quad box)\bigcap  (chosen\quad ball\quad is\quad black)) }{ P(chosen\quad ball\quad is\quad black) } $$
    Thus, required probability = $$\dfrac { \left (\dfrac { 1 }{ 2 } \times \dfrac { 3 }{ 7 } \right) }{ \dfrac { 1 }{ 2 }  } =\dfrac { 3 }{ 7 } $$
  • Question 7
    1 / -0
    Let $$\displaystyle H_{1},H_{2},H_{3},...,H_{n}$$ be mutually exclusive and exhaustive events with $$\displaystyle P\left ( H_{i} \right )> 0; i=1, 2, 3, ..., n.$$ Let E be any other event with $$\displaystyle 0 < P\left ( E \right )< 1.$$ 
    STATEMENT-1:  $$\displaystyle P\left ( H_{i}\mid E \right )> P\left ( E\mid H_{i} \right )\cdot P\left ( H_{i} \right )$$ for  $$\displaystyle i=1, 2, 3, ..., n.$$ 
     STATEMENT-2  $$\displaystyle \sum_{i=1}^{n}P\left ( H_{i} \right )=1.$$
    Solution
    $$Statement 1:$$ If $$P\left( { H }_{ i }\cap E \right) =0$$ for some $$i$$, then
    $$\displaystyle P\left( \frac { { H }_{ i } }{ E }  \right) =P\left( \frac { E }{ { H }_{ i } }  \right) =0$$
    If $$P\left( { H }_{ i }\cap E \right)\neq 0 $$ for $$\forall i=1,2,...,n$$, then
    $$\displaystyle P\left( \frac { { H }_{ i } }{ E }  \right) =\frac { P\left( { H }_{ i }\cap E \right)  }{ P\left( { H }_{ i } \right)  } \times \frac { P\left( { H }_{ i } \right)  }{ P\left( E \right)  } $$
    $$\displaystyle =\frac { P\left( \frac { E }{ { H }_{ i } }  \right) \times P\left( { H }_{ i } \right)  }{ P\left( E \right)  } >P\left( \frac { E }{ { H }_{ i } }  \right) .P\left( { H }_{ i } \right) $$  $$\left[ \because 0<P\left( E \right) <1 \right] $$
    Hence, statement $$1$$ may not always be true.
    $$Statement 2:$$ Clearly $${ H }_{ 1 }\cup { H }_{ 2 }\cup ...\cup { H }_{ n }=S$$   (Sample Space)
    $$\Rightarrow P\left( { H }_{ 1 } \right) +P\left( { H }_{ 2 } \right) +...+P\left( { H }_{ n } \right) =1$$
  • Question 8
    1 / -0
    For a biased die the probabilities for different faces to turn up are given below: The die is tossed and you are told that either face 1 or 2 has turned up. Then the probability that it is face 1 is .....
    Face123456
    Probability0.10.320.210.150.050.17.
    Solution
    Let $$A$$ be the event that face 1 turns up
    $$ B$$ be the event that face 2 turns up.
    Then $$\displaystyle P\left ( A \right )= 0.10$$ and $$\displaystyle P\left ( B \right )= 0.32,$$
    Since A, B are mutually exclusive, we have
    $$\displaystyle P\left ( A\cup B \right )= P\left ( A \right )+P\left ( B \right )= 0.10+0.32= 0.42.$$
    We are to find $$\displaystyle P\left ( A|A\cup B \right )$$
    But $$\displaystyle P\left ( A|A\cup B \right )= \frac{P\left [ A\cap \left ( A\cup B \right ) \right ]}{P\left ( A\cup B \right )}$$

    $$= \dfrac{P\left ( A \right )}{P\left ( A\cup B \right )}$$

    Hence $$\displaystyle P\left ( A|A\cup B \right )= \frac{0.10}{0.42}= \frac{5}{21}$$
  • Question 9
    1 / -0
    There are $$3$$ bags each containing $$5$$ white balls and $$2$$ black balls and $$2$$ bags each containing $$1$$ white balls and $$4$$ black balls, a black ball having been drawn, find the chance that it came from the first group.
    Solution
    Total number of bags $$=5$$
    Let A be the group in which there are $$3$$ bags
    and B be  the group in which there are $$2$$ bags

    Now, probability of selecting bag from group A is $$\dfrac{3}{5}$$
    probability of selecting bag from group B is $$\dfrac{2}{5}$$

    Now, probability of selecting a black ball from first group is $$\dfrac{3}{5} \times \dfrac{2}{7}=\dfrac{6}{35}$$
    Also, probability of selecting a black ball from second group is $$\dfrac{2}{5} \times \dfrac{4}{5}=\dfrac{8}{25}$$

    Probability of first group , given it is black is $$=\dfrac{\dfrac{6}{35}}{\dfrac{6}{35}+\dfrac{8}{25}}=\dfrac{15}{43}$$
  • Question 10
    1 / -0
    There are two groups of subjects one of which consists of 5 science subjects and 3 engineering subjects and the other consists of 3 science and 5 engineering subjects. An unbaised die is cast. If number 3 or number 5 turns up, a subject is selected at random from the first group, other wise the subject is selected at random from the second group. Find the probability that an engineering subject is selected ultimately.
    Solution
    Let  $$\displaystyle E_{1}$$ be the event that a subject is selected from first group.
    $$\displaystyle E_{2}$$ the event that a subject is selected from the second group.
    $$E$$ be the event that an engineering subject is selected.
    Now the probability that die shows $$3$$ or $$5$$  is
    $$\displaystyle P(E_1)=\frac{2}{6}=\frac{1}{3}$$
    $$\displaystyle P\left ( E_{2} \right )=\frac{1}{3}=\frac{2}{3}.$$
    Now probability of choosing an engineering subject from first group is 
    $$\displaystyle P\left ( E|E_{1} \right )=$$  $$\displaystyle \frac{^{3}C_{1}}{^{8}C_{1}}=\frac{3}{8}$$
    Similarly, $$\displaystyle P\left( E|E_{2} \right )=\frac{^{5}C_{1}}{^{8}C_{1}}=\frac{5}{8}$$ 
    Hence $$\displaystyle P\left ( E \right )=P\left ( E_{1} \right )P\left ( E|E_{1} \right )+P\left ( E_{2}\right )P\left ( E|E_{2} \right )$$
    $$\displaystyle =\frac{1}{3}.\frac{3}{8}+\frac{2}{3}.\frac{5}{8}$$

    $$=\dfrac{13}{24}$$ 
Self Studies
User
Question Analysis
  • Correct -

  • Wrong -

  • Skipped -

My Perfomance
  • Score

    -

    out of -
  • Rank

    -

    out of -
Re-Attempt Weekly Quiz Competition
Self Studies Get latest Exam Updates
& Study Material Alerts!
No, Thanks
Self Studies
Click on Allow to receive notifications
Allow Notification
Self Studies
Self Studies Self Studies
To enable notifications follow this 2 steps:
  • First Click on Secure Icon Self Studies
  • Second click on the toggle icon
Allow Notification
Get latest Exam Updates & FREE Study Material Alerts!
Self Studies ×
Open Now