Self Studies

Probability Test - 34

Result Self Studies

Probability Test - 34
  • 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
    Two numbers are selected at random (without replacement) from the first six positive integers. Let X denote the larger of the two numbers obtained. Find E(X).
    Solution
    E(X) is nothing but mean of X
    $$\rightarrow $$ first sic natural numbers are
    $$1,2,3,4,5,6$$
    $$\rightarrow $$We can select two positive no.s in
    $$6\times 5=30$$ ways
    $$\rightarrow 2$$ numbers are selected at random among which X denotes the larger of the two no.s
    $$\rightarrow $$But as X is largest among the two ,
    it can be $$2,3,4,5$$ or $$6$$
    $$\therefore P(X=2)=P$$ (larger no. is $$2$$) $${(1,2),(2,1)}$$
    $$=\cfrac { 2 }{ 30 } $$
    $$\rightarrow P\left( X=3 \right) =P$$ (Larger no. is $$3$$)
    $$=\left\{ \left( 1,3 \right) ,\left( 3,1 \right) ,\left( 2,3 \right) ,\left( 3,2 \right)  \right\} $$
    $$=\cfrac { 4 }{ 30 } $$
    $$\rightarrow P\left( X=4 \right) =P$$ (larger no. is $$4$$)
    $$=\left\{ \left( 1,4 \right) ,\left( 4,1 \right) ,\left( 2,4 \right) ,\left( 4,2 \right) ,\left( 3,4 \right) ,\left( 4,3 \right)  \right\} $$
    $$=\cfrac { 6 }{ 30 } $$
    $$\rightarrow P\left( X=5 \right) =P$$ (Larger no. is $$5$$)
    $$=\left\{ \left( 1,5 \right) ,\left( 5,1 \right) ,\left( 2,5 \right) ,\left( 5,2 \right) ,\left( 3,5 \right) ,\left( 5,3 \right) ,\left( 4,5 \right) ,\left( 5,4 \right)  \right\} $$
    $$=\cfrac { 8 }{ 30 } $$
    $$\rightarrow P\left( X=6 \right) =P$$ (Larger no. is $$6$$)
    $$=\left\{ \left( 1,6 \right) ,\left( 6,1 \right) ,\left( 2,6 \right) ,\left( 6,2 \right) ,\left( 3,6 \right) ,\left( 6,3 \right) ,\left( 4,6 \right) ,\left( 6,4 \right) ,\left( 5,6 \right) ,\left( 6,50 \right)  \right\} $$
    $$=\cfrac { 10 }{ 30 } $$
    $$\therefore E\left( X \right) =$$ mean $$=\sum { P\left( { X }_{ i } \right)  } .{ X }_{ i }$$
    $$=2\left( \cfrac { 2 }{ 30 }  \right) +3\left( \cfrac { 4 }{ 30 }  \right) +4\left( \cfrac { 6 }{ 30 }  \right) +5\left( \cfrac { 8 }{ 30 }  \right) +6\left( \cfrac { 10 }{ 30 }  \right) $$
    $$=\cfrac { 140 }{ 30 } =\cfrac { 14 }{ 3 } $$
  • Question 2
    1 / -0
    A bag contains $$5$$ red balls, $$3$$ black balls and $$4$$ white balls. Three balls are drawn at random. The probability that they are not of same colour is
    Solution

    To   find   the  probability   that  they  are   not   of  same  colour  
    Given ,
    Bag  Contains   5  red  balls  ,  3  black  balls   and  4  white  balls 
    First   let's   Find   the  Probability  that  they  are   of  same  colour .

    Probability   of   drawing   5  red  balls   is

     $$ P_{1} =\dfrac{\binom{5}{3} }{\binom{12}{3}}$$

    Now ,  Probability   of   drawing   3   black   balls   is

     $$ P_{2} =\dfrac{\binom{3}{3} }{\binom{12}{3}}$$

    Also , Probability   of   drawing   4   white    balls   is 

    $$ P_{3} =\dfrac{\binom{4}{3} }{\binom{12}{3}}$$

    Hence, Total  Probability that  they  are   of  same  colour . =  

    $$ P =\dfrac{\binom{5}{3} }{\binom{12}{3}}  +  \dfrac{\binom{3}{3} }{\binom{12}{3}}+ \dfrac{\binom{4}{3} }{\binom{12}{3}}$$

    $$ P =\dfrac{\binom{5}{3} + \binom{3}{3} +\binom{4}{3} }{\binom{12}{3}}$$

    Now,  Probability  that  they  are  not   of  same  colour can  be  calculated  as 

    $$ P = 1  - \left [ \dfrac{\binom{5}{3} }{\binom{12}{3}}  +  \dfrac{\binom{3}{3} }{\binom{12}{3}}+ \dfrac{\binom{4}{3} }{\binom{12}{3}} \right ]$$


    $$ P = 1  - \left [ \dfrac{\binom{5}{3} + \binom{3}{3} + \binom{4}{3}}{\binom{12}{3}}\right ]$$


    $$ P = 1  - \left [ \dfrac{5\times 2 + 1 + 4}{220}\right ]$$

    $$ P = 1  - \left [ \dfrac{15}{220}\right ]$$

    $$ P =   \dfrac{41}{44}$$
  • Question 3
    1 / -0
    Suppose four balls labelled $$1, 2, 3, 4$$ are randomly placed in boxes $$B_{1}, B_{2}, B_{3}, B_{4}$$. The probability that exactly one box is empty is
    Solution
    Total number of ways in which $$4$$ different balls can be placed in $$4$$ distinct boxes$$=4^4$$

    number of ways in which exactly $$1$$ box is empty$$=^4C_1\times \dfrac{4!}{2!}\times 3$$

    $$\therefore$$ The probability that exactly one box is empty is$$=\dfrac{4\times 4\times 3\times 3}{4^4}=\dfrac{9}{16}$$
  • Question 4
    1 / -0
    There are two bags, one of which contains $$3$$ black and $$4$$ white balls,$$II$$ bag contain $$4$$ black and $$3$$ white balls.A die is cast, if the number $$3$$ or less than $$3$$ turns up, a ball is drawn from $$1$$ bag and if the face greater than $$3$$ turns up, a ball is drawn from $$II$$ bag. It is found that ball drawn is black. Find the probability that it is from bag I.
    Solution
    Let $$A_{1}$$ be the event $$\leq 3$$ (when a die is cast) $$A_{2}$$ be the event $$\geq 4$$ (when a die is cast) $$'E'$$ be the event drawn ball is Black.
    $$\therefore P(A_{1}) = \dfrac {1}{2} = P(A_{2})$$
    $$P\left (\dfrac {E}{A_{1}}\right ) = \dfrac {3}{7}, P\left (\dfrac {E}{A_{2}}\right ) = \dfrac {4}{7}$$
    $$\therefore P\left (\dfrac {A_{1}}{E}\right ) = \dfrac {P(A_{1})P\left (\dfrac {E}{A_{1}}\right )}{P(A_{1}) P\left (\dfrac {E}{A_{1}}\right ) + P(A_{2}) P\left (\dfrac {E}{A_{2}}\right )}$$
    $$= \dfrac {\dfrac {1}{2}\times \dfrac {3}{7}}{\dfrac {1}{2} \times \dfrac {3}{7} + \dfrac {1}{2}\times \dfrac {4}{7}} = \dfrac {3}{7}$$
    Hence choice (d) is correct.
  • Question 5
    1 / -0
    A biased coin with probability P, (0 < p < 1 ) of heads is tossed until a head appear for the first time. If the probability that the number of tosses required is even is $$\frac{2}{5}$$ then P =  
    Solution
    Chance of doing 2 toss=(1-p)*p
    Chance of doing 4 toss=(1-p)*(1-p)*(1-p)*p
    Chance of doing 6 toss=(1-p)*(1-p)*(1-p)*(1-p)*(1-p)*p
    Probability that number of coins is even=chance of 2+chance of 4+chance  of 6+......
    $$=(1-p)*p(1+(1-p)*(1-p)+(1-p)*(1-p)*(1-p)*(1-p)+....)\\ \Rightarrow (1-p)*p(\frac { 1 }{ 1-{ (1-p })^{ 2 } } )=2/5\\ \Rightarrow (1-p)*p(\frac { 1 }{ p{ (2-p }) } )=2/5\\ \Rightarrow (1-p)*(\frac { 1 }{ { (2-p }) } )=2/5\\ On\quad solving\quad we\quad get\quad p=1/3\\ \\ $$
  • Question 6
    1 / -0
    $$X$$ has three children in his family. What is the probability that all the three children are boys?
    Solution
    X has $$3$$ children in his family.
    All possible outcomes are if $$G$$ represents girl child and B represent boy child, $$\{(BBB), (BBG), (BGB), (BGG), (GBB), (GBG), (GGB), (GGG)\}$$, hence $$n(S)=8$$
    Out of which favorable outcomes for all the three chilren being boy, $$n(E)=1$$
    Hence, the probability that all the three children are boys is $$\dfrac {n(E)}{n(S)}=\dfrac 18$$
  • Question 7
    1 / -0
    A committee of three persons is to be randomly selected from a group of three men and two women and the chair person will be randomly selected from the committee.The probability that the committee will have exactly two women and one man, and that the chair person will be a women, is / are  
    Solution
    No of ways of selecting 3 persons from the group of 3 men and two woman = $$^{5}C_{3}$$
    No. of ways of selecting exactly 2 women and 1 man = $$^{2}C_{2}\times ^{3}C_{1}= 3$$
    $$\therefore $$ Probability of selecting exactly 2 women and 1 man = $$\dfrac{3}{^{5}C_{3}}$$
    $$=\dfrac{3}{\frac{5!}{3! 2!}}=\dfrac{3}{10}$$
    probability that the chair person selected from the committee is a woman = $$\dfrac{2}{3}$$
    $$\therefore $$ Probability of selecting exactly 2 women and 1 man for the committee and chairman selected i.e a woman = $$\dfrac{3}{10}\times \dfrac{2}{3}$$
    $$=\dfrac{1}{5}$$
  • Question 8
    1 / -0
    $$X$$ has three children in his family. Probability of atleast two girls in the family is.....
    Solution
    $$X$$ has $$3$$ children in his family.
    All possible outcomes are if $$G$$ represents girl child and $$B$$ represent boy child, $$\{(BBB), (BBG), (BGB), (BGG), (GBB), (GBG), (GGB), (GGG)\}$$, hence $$n(S)=8$$
    Out of which favorable outcomes for at-least two girls are, $$n(E)=4$$
    Hence, the probability that there are at-least two girls is $$\dfrac {n(E)}{n(S)}=\dfrac 48=\dfrac 12$$
  • Question 9
    1 / -0
    A box contains $$2$$ silver coins and 4 gold coins and the second box contains $$4$$ silver coins and $$3$$ gold coins. If a coin is selected from one of the box, what is the probability that it is a silver coin. 
    Solution
    Box $$I:2$$ Silver coins $$+\;{4}$$ gold coins
    Box $$II:4$$ Silver coins $$+\;{3}$$ gold coins
    Let $$E_1$$ be the event of selecting a gold coin from box $$I$$
    and $$E_2$$ be the event of selecting a gold coin from box $$II.$$
    $$A:$$ Probability of gold coin
    $$\Rightarrow P(E_1)={^6C_2}$$            $$P(E_2)={^7C_4}$$ 
    $$\Rightarrow P\left( \dfrac { A }{  E_1}  \right) =P\left( \dfrac { A }{  E_2}  \right) =\dfrac{1}{2}$$
    $$\Rightarrow P\left( \dfrac { E_1 }{  E_2}  \right) =\dfrac{P(E_1)P\left( \dfrac { A }{  E_1}  \right) }{P(E_1)P\left( \dfrac { A }{  E_1}  \right) P(E_2)P\left( \dfrac { A }{  E_2}  \right) }$$
                            $$=\dfrac{{^6C_2}\times\dfrac{1}{2}}{{^6C_2}\times\dfrac{1}{2}+{^7C_4}\times\dfrac{1}{2}}$$
                            $$=\dfrac{7.5}{7.5+17.5}$$
                            $$=0.3$$
    Hence, the answer is $$0.3$$
  • Question 10
    1 / -0
    $$X$$ has three children in his family. What is the probability of two or more boys in the family? 
    Solution
    $$X$$ has $$3$$ children in his family.
    All possible outcomes are if $$G$$ represents girl child and $$B$$ represent boy child, $$\{(BBB), (BBG), (BGB), (BGG), (GBB), (GBG), (GGB), (GGG)\}$$, hence $$n(S)=8$$
    Out of which favorable outcomes for two or more boys are, $$n(E)=4$$
    Hence, the probability that there are two or more boys in the family is $$\dfrac {n(E)}{n(S)}=\dfrac 48=\dfrac 12$$
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