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Probability Test - 42

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Probability Test - 42
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  • Question 1
    1 / -0
    'X' speaks truth in $$60\%$$ of the cases and 'Y' in $$50\%$$ of the cases. The probability that they contradict each other while narrating the some incident, is
    Solution
    Let $$X$$ be the event that $$X$$ speaks the truth.

    Let $$Y$$ be the event that $$Y$$ speaks the truth.

    Then $$P(X)=\dfrac{60}{100}=\dfrac{3}{5}$$ and $$P(Y) =\dfrac{50}{100}=\dfrac{1}{2}$$

    Also $$P(X-lie) =1-\dfrac{3}{5}=\dfrac{2}{5}$$ and $$P(Y-lie) = 1-\dfrac{1}{2}=\dfrac{1}{2}$$

    Now
    $$X$$ and $$Y$$ contradict each other $$=[X\:lies \:and\:Y\: true]\:or\:[X\:true\:and\:Y\:lies]$$

                                                         $$= P(X-lie) \times P(Y)+P(X)\times P(Y-lie)$$

                                                         $$=\dfrac{2}{5} \times \dfrac{1}{2}+\dfrac{3}{5} \times \dfrac{1}{2}$$

                                                         $$=\dfrac{2}{10} + \dfrac{3}{10}$$

                                                         $$=\dfrac{5}{10}$$

                                                         $$=\dfrac{1}{2}$$

    Therefore the probability that they contradict each other while narrating the some incident, is $$\dfrac{1}{2}$$

  • Question 2
    1 / -0
    If A and B are independent events of a random experiment such that $$P(A\cap B)=\dfrac{1}{6}$$ and $$P(\overline A\cap \overline B)=\dfrac{1}{3}$$, then $$P(A)$$ is equal to 
    Solution
    Given $$P(A\cap B) =\cfrac{1}{6}$$ and $$P(\overline { A } \cap \overline { B } )=\cfrac{1}{3}$$
    $$P(\overline { A } \cap \overline { B } )=P(\overline { A\cup B } )=1-P(A\cup B)$$
    $$\Rightarrow P(A\cup B)=1-\cfrac{1}{3}=\cfrac{2}{3}$$
    We know that $$P(A\cup B) =P(A)+P(B)-P(A\cap B)$$
    $$\Rightarrow P(A)+P(B)=\cfrac{2}{3}+\cfrac{1}{6}=\cfrac{5}{6}$$
    Given $$A$$ and $$B$$ are independent events , so we get $$P(A)P(B)=P(A\cap B)=\cfrac{1}{6}$$
    By solving above equations , we get $$P(A)=\cfrac{1}{3}$$ and $$P(B)=\cfrac{1}{2}$$
    Therefore option $$A$$ is correct.
  • Question 3
    1 / -0
    What is the probability of drawing a black card in a deck of cards?
    Solution
    Total number of cards in deck $$52$$.
    Therefore, $$n(S)=52$$.
    Let $$A$$ be the event of drawing a black card in a deck of cards.
    $$\therefore n(A)=26$$.
    Hence, the probability of drawing a black card in a deck of cards is $$P(A)=\dfrac{n(A)}{n(S)}=\dfrac{26}{52}=\dfrac{1}{2}$$.
    Therefore, the probability of drawing a black card  in a deck of cards is $$\dfrac{1}{2}$$.
  • Question 4
    1 / -0
    The probability that a leap year selected at random contains either $$53$$ Sundays or $$53$$ Mondays, is 
    Solution
    Total number of days in a leap year is $$366$$.

    It will contain $$52$$ weeks and $$2$$ days.

    These two days can be
    $$S=\{(Sun,Mon); (Mon,Tues); (Tues,Wed); (Wed, Thurs); (Thurs,Fri); (Fri,Sat); (Sat,Sun)\}$$

    Therefore $$n(S)=7$$

    Let $$A$$ be the event of getting $$53$$ sundays.

    Therefore $$A=\{(Sun,Mon);(Sat,Sun)\}$$

    For $$53$$ Sundays , probability is $$P(A)=\dfrac{2}{7}$$

    Let $$B$$ be the event of getting $$53$$ mondays.

    Therefore $$B=\{(Sun,Mon);(Mon,Tues)\}$$

    For $$53$$ Mondays , probability is $$P(B)=\dfrac{2}{7}$$

    =27
    This includes one ways where sunday and monday simultaneously Occur
    (i.e) $$A\cap B= \{Sun, Mon\}$$

    Probability for this is $$P(A\cap B)=\dfrac{1}{7}$$.


    =17
    Hence required probability that a leap year selected at random contain $$53$$ sundays or $$53$$ mondays is
     $$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$

                        $$=\dfrac{2}{7}+\dfrac{2}{7}-\dfrac{1}{7}=\dfrac{2+2-1}{7}$$

    Therefore the required probability is $$\dfrac{3}{7}$$
  • Question 5
    1 / -0
    A box contains $$100$$  bulbs, out of which $$10$$ are defective. A sample of  $$5$$  bulbs is drawn. The probability that none is defective is.
    Solution
    The probability that a bulb is defective $$p=\dfrac{10}{100}=\dfrac{1}{10}$$.
    The probability that a bulb is not defective $$q=1-p=\dfrac{9}{10}$$
    Thus out of 5 bulbs, the probability that none of the bulbs are defective
    $$=\dfrac{9}{10}\times \dfrac{9}{10}\times \dfrac{9}{10}\times \dfrac{9}{10}\times \dfrac{9}{10}$$

    $$=(\dfrac{9}{10})^{5}$$
  • Question 6
    1 / -0
    If $$A$$ and $$B$$ are two independent events such that $$P(\overline A)= \dfrac{7}{10}$$, $$P(\overline B)= \alpha$$ and $$P(A \cup B)= \dfrac{8}{10}$$, then $$\alpha$$ is
    Solution
    We know $$P(A')=1-P(A)$$
    $$\Rightarrow P(A)=1-\dfrac {7}{10}=\dfrac {3}{10}$$
    So, $$P(A)=\dfrac{3}{10}$$
    and $$P(B)=1-\alpha$$
    Since they are both independent events,
    So, $$P(A\cap{B})=P(A).P(B)$$
    $$P(A\cap{B})=\dfrac{3}{10}(1-\alpha)$$
    Now $$P(A\cup{B})=P(A)+P(B)-P(A\cap{B})$$
    $$\Rightarrow \dfrac{8}{10}=\dfrac{3}{10}+1-\alpha-\dfrac{3}{10}(1-\alpha)$$
    $$\Rightarrow 7\alpha=2$$
    $$\Rightarrow \alpha=\dfrac{2}{7}$$
  • Question 7
    1 / -0
    Let $$A$$ and $$B$$ two events such that $$P(A\cap B) = \dfrac{1}{6}, P(A\cup B) = \dfrac{31}{45}$$ and $$P(\overline{B}) = \dfrac{7}{10}$$ then
    Solution
    We have, $$P(A\cap B)=\dfrac{1}{6}, P(A\cup B)=\dfrac{31}{45}$$ and $$P(\overline{B})=\dfrac{7}{10}$$

    $$\therefore P(B)=1-\dfrac{7}{10}=\dfrac{3}{10}$$

    Now using $$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$
    $$\Rightarrow \dfrac{31}{45}=P(A)+\dfrac{3}{10}-\dfrac{1}{6}=P(A)+\dfrac{2}{15}$$
    $$\Rightarrow P(A)=\dfrac{31}{45}-\dfrac{2}{15}=\dfrac{25}{45}=\dfrac{5}{9}$$

    Check,  $$P(A)P(B)=\dfrac{5}{9}\cdot \dfrac{3}{10}=\dfrac{1}{6}=P(A\cap B)$$

    Hence both the events $$A$$ and $$B$$ are independent to each other 
  • Question 8
    1 / -0
    Which of the following is true for two independent events?
    Solution
    We know that when $$A$$ and $$B$$ are independent events, then the intersection of two events is given by $$P(A\cap B)=P(A)\;P(B)$$.

    Hence option $$(B)$$ is correct.


  • Question 9
    1 / -0
    A policeman fires four bullets at a dacoit. The probability that the dacoit will be killed by one bullet is 0.6. What is the probability that the dacoit is still alive?
    Solution
    The probability of death for each bullet is $$0.6$$. 

    That means the probability for staying alive is $$1-0.6=0.4$$. 

    Given, the policeman fires $$4$$ bullets at a dacoit.

    So to stay alive the dacoit must miss four bullets.

    Hence the probability that the dacoit is still alive is $$(0.4) \times (0.4) \times (0.4) \times (0.4)=(0.4)^4=0.0256$$
  • Question 10
    1 / -0
    The probabilities that three men hit a target are 1/6, 1/4 and 1/3. Each man shoots once at the target. What is the probability that exactly one of them hits the target?
    Solution
    Let the probability of  A hitting the target $$=\dfrac{1}{6}$$
    Let the probability of  B hitting the target $$=\dfrac{1}{4}$$
    Let the probability of  C hitting the target $$=\dfrac{1}{3}$$
    The probability that exactly one of them hits the target (it means only one will hit the target while others two cannot)
    $$\cfrac { 1 }{ 6 } \times \cfrac { 3 }{ 4 } \times \cfrac { 2 }{ 3 } +\cfrac { 5 }{ 6 } \times \cfrac { 3 }{ 4 } \times \cfrac { 1 }{ 3 } +\cfrac { 5 }{ 6 } \times \cfrac { 1 }{ 4 } \times \cfrac { 2 }{ 3 } $$
    $$=\dfrac{31}{72}$$
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