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Probability Test - 34

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Probability Test - 34
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  • Question 1
    1 / -0
    One hundred management students who read at least one of the three business magazines are surveyed to study the readership pattern. It is found that 80 read Business India, 50 read Business World and 30 read Business Today. Five students read all the three magazines. A student was selected randomly. Find the probability that he reads exactly two magazines.
    Solution

    Let $$P(I), P(W)$$ & $$P(T)$$ denote the probability of student reads Business India, Business world & Business today

    $$P(I)=\dfrac {80}{100}, P(W)=\dfrac {50}{100}, P(T)=\dfrac {30}{100}$$

    Probability that student reads exactly two

    $$P(I \cap W) + P(I \cap T) + P(W \cap T) 3P(I \cap W \cap T)$$

    $$= P(I)+P(W)+P(T)+ P(I \cap W\cap T) 1 3P(I \cap W \cap T)$$

    $$=\dfrac {80}{100}+\dfrac {50}{100}+\dfrac {30}{100}-1-\dfrac {10}{100}=\dfrac {50}{100}=\dfrac {1}{2}$$

  • Question 2
    1 / -0
    In a multiple choice question there are five alternative answers of which one or more than one is correct. A candidate will get marks on the question only if he ticks the correct answers. The candidate ticks the answers at random. If the probability of the candidate getting marks on the question is to be greater than or equal to 1/3, find the least number of chances he should be allowed
    Solution
    Total ways to ans. are $$^5C_1 + ^5C_2 + ... + ^5C_5 = 31$$
    If n chances are given then probability of success is
    $$\displaystyle P(C_1\cup C_2\cup ..... C_n)=\frac {1}{31}+\frac {1}{31}+ .....+\frac {1}{31}$$
    $$\displaystyle =\frac {n}{31} \geq \frac {1}{3} \Rightarrow n\geq 10\frac {1}{3}$$
    $$\Rightarrow n=11$$
  • Question 3
    1 / -0
    In a multiple choice question, there are four alternative answer of which one or more than one is correct. A candidate will get marks on the question only if he ticks all the correct answer. The candidate decides to tick all the correct answer. The candidate decides to tick answers at random. If he is allowed up to three chances to answer the question, the probability that he will get marks on it is 
    Solution
    The total number of ways of ticking one or more alternatives out of $$4$$ is $$_{  }^{ 4 }{ { C }_{ 1 } }+_{  }^{ 4 }{ { C }_{ 2 } }+_{  }^{ 4 }{ { C }_{ 3 } }+_{  }^{ 4 }{ { C }_{ 4 } }=15$$
    Out of these $$15$$ combination, only one is correct.
    The probability of ticking the alternatives correct at the first trail $$\displaystyle \frac { 1 }{ 15 } $$,
    that at the second trail is $$\displaystyle \frac { 14 }{ 15 } .\frac { 1 }{ 14 } =\frac { 1 }{ 15 } $$
    and that at the third trail is $$\displaystyle \frac { 14 }{ 15 } .\frac { 13 }{ 14 } .\frac { 1 }{ 13 } =\frac { 1 }{ 15 } $$
    Then, the probability that the candidate will get marks on the question is he is allowed three trails is
    $$\displaystyle \frac { 1 }{ 15 } +\frac { 1 }{ 15 } +\frac { 1 }{ 15 } =\frac { 3 }{ 15 } =\frac { 1 }{ 5 } $$
  • Question 4
    1 / -0

    Directions For Questions

    A JEE aspirant estimates that she will be successful with an $$80$$ percent chance if she studies $$10$$ hours per day, with a $$60$$ percent chance if she studies 7 hours per day and with a 40 percent chance if she studies 4 hours per day. She further believes that she will study 10 hours, 7 hours and 4 hours per day with probabilities 0.1, 0.2 and 0.7, respectively.

    ...view full instructions

    The chance she will be successful, is
    Solution
    Given,The probability of a Jee Aspirant to be successful if he studies for 10 hours per day,$$P(t_{10})=0.8$$ 
    The probability of a Jee Aspirant to be successful if he studies for 7 hours per day,$$P(t_{7})=0.6$$
    The probability of a Jee Aspirant to be successful if he studies for 4 hours per day,$$P(t_{4})=0.4$$
    The probability that she will study 10 hours per day,$$\displaystyle P(A)=0.1$$
    The probability that she will study 7 hours per day,$$\displaystyle P (B)=0.2$$
    The probability that she will study 4 hours per day,$$\displaystyle P(C)=0.7$$
    $$\therefore The\;probability\;that\;she\;will\;be\;successful,P(S)=P(t_{10})*P(A)+P(t_{7})*P(B)+P(t_{4})*P(C)$$
    $$=0.8*0.1+0.6*0.2+0.4*0.7=0.48$$
  • Question 5
    1 / -0
    In a simultaneous throw of two dice, what is the number of exhaustive events?
    Solution
    A dice has $$6$$ faces. 
    So, for each face of the first dice, there will be $$6$$ combinations  with the faces of the second dice.
    $$\therefore $$ The number of exhaustive events
    =$$6\times 6=36$$.
  • Question 6
    1 / -0
    Three unbiased coins are tossed. What is the probability of getting at most 2 tails ?
    Solution
    Possible outcomes of tossing three coins are:
    $$(HHH), (HHT), (HTH), (THH), (TTT), (TTH), (THT),(HTT)$$
    where, $$H$$ and $$T$$ are represent "heads" and "tail".
    Total no. of  outcomes $$= 8$$
    No. of outcomes with at the most two tails $$= 7$$
    $$\therefore $$ Required probability $$= $$$$ \dfrac 78 $$
    $$\therefore $$ Option C is correct.
  • Question 7
    1 / -0
    A card is drawn at random from a pack of 52 cards. What is the probability that the card drawn is a spade or a king ?
    Solution
    Since, Total cards = $$52 $$
    No. of kings = $$ 4 $$
    No. of cards that are spade = $$ 13$$
    There is one card of king which is of spade.
    $$\therefore $$ no. of cards which are spade or a king = $$ 16$$
    $$\therefore $$ Required probability = $$\displaystyle \frac {16}{52} = \frac 4{13} $$
    $$\therefore $$ Option A is correct.
  • Question 8
    1 / -0
    If a ball is drawn from a bag containing 20 balls of different colours, then probability of a white ball is _____.
    Solution
    There are 20 different coloured balls in the bag, 1 of them is white,
    p(white)=$$\cfrac{1}{20}$$
  • Question 9
    1 / -0
    If A and B are events such that $$P(\overline A\cup \overline B)=\dfrac {3}{4}, P(\overline A\cap \overline B)=\dfrac {1}{4}$$ and $$P(A)=\dfrac {1}{3}$$, then $$P(\overline A\cap B)$$ is
    Solution

    $$P(\overline A\cup \overline B)=\dfrac {3}{4}\Rightarrow P(\overline {A\cap B})=\dfrac {3}{4}\Rightarrow P(A\cap B)=\dfrac {1}{4}$$

    $$P(\overline A\cap \overline B)=\dfrac {1}{4}\Rightarrow P(\overline {A\cup B})=\dfrac{1}{4}\Rightarrow P(A\cup B)=\dfrac {3}{4}$$

    $$P(A)=\dfrac {1}{3}, P(\overline A)=\dfrac {2}{3}$$

    $$P(\overline A\cap B)=P(B)-P(A\cap B)$$

    $$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$

    $$\Rightarrow \dfrac {3}{4}=\dfrac {1}{3}+P(B)-\dfrac {1}{4}$$

    $$P(B)=\dfrac {3}{4}-\dfrac {1}{12}=\dfrac {9-1}{12}=\dfrac {8}{12}=\dfrac {2}{3}$$

    $$\therefore P(\overline A\cap B)=\dfrac {2}{3}-\dfrac {1}{4}=\dfrac {8-3}{12}=\dfrac {5}{12}$$

  • Question 10
    1 / -0
    Consider two events $$A$$ and $$B$$ of an experiment where $$P(A\cap B)=\dfrac {1}{4}$$ and $$P(B)=\dfrac {1}{2}$$, then $$P(A)$$ cannot exceed
    Solution
    $$P(A\cup B)=P(A)+P(B)-P(A\cap B)\leq 1$$
    $$\displaystyle \Rightarrow P(A)+\dfrac {1}{2}+\frac {1}{4}\leq 1\\ \Rightarrow P(A)\leq \dfrac {3}{4}$$
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