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Probability Test - 23

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Probability Test - 23
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  • Question 1
    1 / -0
    Two buses A and B are scheduled to arrive at a town central bus station at noon. The probability that bus A will be late is 1/5. The probability that bus B will be late is 7/25. The probability that the bus B is late given that bus A is late is 9/10. Then the probabilities
    (i) neither bus will be late on a particular day and
    (ii) bus A is late given that bus B is late, are respectively
    Solution

    P(A) ; denote the probability that bus A will be late.
    P(B) ; denote the probability that bus B will be late.
    $$P(A)=\dfrac {1}{5}, P(B)=\dfrac {7}{25}$$
    $$P\left (\dfrac {B}{A}\right )=\dfrac {9}{10}\Rightarrow P(A\cap B)=\dfrac {9}{50}$$
    (i) $$P(\overline A\cap \overline B)=1-P(A\cup B)$$
    $$=1-\left (\dfrac {1}{5}+\dfrac {7}{25}-\dfrac {9}{50}\right )=\dfrac {35}{50}=\dfrac {7}{10}$$
    $$(ii) P\left (\dfrac {A}{B}\right )=\dfrac {P(A)\cdot P\left (\dfrac {B}{A}\right )}{P(B)}=\dfrac {\dfrac {1}{5}\times \dfrac {9}{10}}{\dfrac {7}{25}}=\dfrac {18}{28}$$

  • Question 2
    1 / -0
    In a building programme the event that all the materials will be delivered at the correct time is $$M$$ and the event that the building programme will be completed on time is $$F.$$ Given that $$P(M) = 0.8$$ and $$P(M \cap F) = 0.65$$, find $$P(F/M).$$ If $$P(F) = 0.7$$, find the probability that the building programme will be completed on time if all the materials are not delivered at the correct time.
    Solution
    Given,In building programme the event that all materials will be delivered at the correct time is $$M$$ and event that building programme will be completed on time is $$F$$.
    $$P(M)=0.8,P(M \cap F)=0.65$$$$P(F/M)=\dfrac{P(F \cap M)}{P(M)}=\dfrac{0.65}{0.8}=\dfrac{13}{16}$$If $$P(F)=0.7$$
    The probability that the building programme will be completed on tim if all materials are not delivered at the correct time=$$P(F/\overline M)$$
    $$\Rightarrow P(F/\overline M)=\dfrac{P(F \cap \overline M)}{P(\overline M)}=\dfrac{(P(F)-P(F \cap M))}{(1-P(M))}$$
    $$\Rightarrow P(F/\overline M)=\dfrac{(0.7-0.65)}{(1-0.8)}=\dfrac{0.05}{0.2}=\dfrac{1}{4}$$

  • Question 3
    1 / -0

    Directions For Questions

    Let S and T are two events defined on a sample space with probabilities
    $$P(S) = 0.5, P(T) = 0.69, P(S/T) = 0.5$$

    ...view full instructions

    The value of $$P(S$$ or $$ T)$$ is:
    Solution
    Given, S and T are two events on sample space such that,
    $$P(S)=0.5,P(T)=0.69,P(S/T)=0.5$$
    $$\Rightarrow P(S/T)=\frac{P(S \cap T)}){P(T)}$$
    $$0.5\times 0.69=P(S \cap T)$$
    $$\Rightarrow P(S \cap T)=0.345$$
    $$P(S \cup T)=P(S)+P(T)-P(S \cap T)=0.5+0.69-0.345=0.845$$
  • Question 4
    1 / -0

    Directions For Questions

    Let S and T are two events defined on a sample space with probabilities
    $$P(S) = 0.5, P(T) = 0.69, P(S/T) = 0.5$$

    ...view full instructions

    Events S and T are
    Solution
    Given $$P(S)=0.5,P(T)=0.69,P(S/T)=0.5$$
    $$\Rightarrow P(S/T)=\frac{P(S \cap T)}{P(T)}$$
    Therefore $$P(S \cap T)=P(S/T).P(T)=0.5*0.69=0.345$$
    Consider $$P(S).P(T)=0.5*0.69=0.345$$
    since $$P(S \cap T)=P(S).P(T)$$
    $$\Rightarrow$$Events S and T are Independent
  • Question 5
    1 / -0
    An urn contains 9 red, 7 white and 4 black balls A ball is drawn at random What is the probability that the ball drawn is not red ?
    Solution
    Since, total no. of balls = $$9+7+4 = 20$$
     No. of balls that are not red = $$7+4 = 11$$
    $$\therefore $$ Required probability = $$\displaystyle \frac {11}{20} $$
    $$\therefore $$ Option D is correct.
  • Question 6
    1 / -0

    Directions For Questions

    The probabilities that three men hit a target are, respectively, $$0.3, 0.5$$ and $$0.4$$. Each fires once at the target. (As usual, assume that the three events that each hits the target are independent.)

    ...view full instructions

    If only one hits the target, what is the probability that it is was the first man?
    Solution
    $$E$$$$ :$$ only one hits the target
    $$\displaystyle = A\overline B\overline C \cup \overline AB\overline C\cup \overline A\overline BC$$
    $$\displaystyle P(A\overline B\overline C/E)=\frac {(0.3)(0.5)(0.6)}{0.44}=\frac {0.09}{0.44}$$
  • Question 7
    1 / -0

    Directions For Questions

    Let A & B be two events defined on a sample space. Given $$P(A) = 0.4 ; P(B) = 0.80$$ and $$P (\overline A/\overline B) = 0.10$$. Then find

    ...view full instructions

    $$P[(\overline A\cap B)\cup (A \cap \overline B)]$$
    Solution
    $$P(\overline A \cup B) + P(A \cap \overline B)$$
    $$= P(A) + P(B) \times 2P(A \cap B)$$
    $$= 0.4 + 0.8 2(0.22) = 0.76$$
  • Question 8
    1 / -0
    Two dice are thrown. The probability that the sum of the numbers coming up on them is $$9$$, if it is known that the number $$5$$ always occurs on the first die, is
    Solution
    Let $$S$$ be the sample space
    $$\therefore S=\left\{ 1,2,3,4,5,6 \right\} \times \left\{ 1,2,3,4,5,6 \right\} \\ \therefore n\left( S \right) =36$$
    Let $${ E }_{ 1 }\equiv $$ the event that the sum of the numbers coming up is $$9$$
    and $${ E }_{ 2 }\equiv $$ the event of occurrence of $$5$$ on the first die.
    $${ E }_{ 1 }\equiv \left\{ \left( 3,6 \right) ,\left( 6,3 \right) ,\left( 4,5 \right) ,\left( 5,4 \right)  \right\} \\ \therefore n\left( { E }_{ 1 } \right) =4\\ { E }_{ 2 }\equiv \left\{ \left( 5,1 \right) ,\left( 5,2 \right) ,\left( 5,3 \right) ,\left( 5,4 \right) ,\left( 5,5 \right) ,\left( 5,6 \right)  \right\} \\ \therefore n\left( { E }_{ 2 } \right) =6\\ { E }_{ 1 }\cap { E }_{ 2 }=\left\{ \left( 5,4 \right)  \right\} \\ \therefore n\left( { E }_{ 1 }\cap { E }_{ 2 } \right) =1$$
    Now $$\displaystyle P\left( { E }_{ 1 }\cap { E }_{ 2 } \right) =\frac { n\left( { E }_{ 1 }\cap { E }_{ 2 } \right)  }{ n\left( S \right)  } =\frac { 1 }{ 36 } $$ and $$\displaystyle P\left( { E }_{ 2 } \right) =\frac { n\left( { E }_{ 2 } \right)  }{ n\left( S \right)  } =\frac { 6 }{ 36 } =\frac { 1 }{ 6 } $$
    $$\therefore$$ Required probability $$\displaystyle P\left( \frac { { E }_{ 1 } }{ { E }_{ 2 } }  \right) =\frac { P\left( { E }_{ 1 }\cap { E }_{ 2 } \right)  }{ P\left( { E }_{ 2 } \right)  } =\frac { \frac { 1 }{ 36 }  }{ \frac { 1 }{ 6 }  } =\frac { 1 }{ 6 } $$
  • Question 9
    1 / -0
    Suppose that of all used cars of a particular year 30% have bad brakes. You are considering buying a used car of that year. You take the car to a mechanic to have the brakes checked. The chance that the mechanic will give you the wrong report is 20%. Assuming that the car you take to the mechanic is selected at random from the population of cars of that year. The chance that the car's brakes are good, given that the mechanic says its brakes are good, is
    Solution
    Given $$30$$% of the cars of bad brakes
    $$P(E_1)=70$$%$$=\dfrac7{10}$$        $$P(E_2)=30$$%$$=\dfrac3{10}$$
    $$\Rightarrow P\left( \dfrac { { E } }{ { E }_{ 1 } }  \right) =0.2\times0.2=0.04$$
    $$\Rightarrow P\left( \dfrac { { E } }{ { E }_{ 2 } }  \right) =0.8\times0.8=0.64$$
    $$\therefore P\left( \dfrac { { E } }{ { E }_{ 1 } }  \right) =\dfrac { \dfrac { 7 }{ 10 } \times \dfrac { 2 }{ 10 } \times \dfrac { 2 }{ 10 }  }{ \dfrac { 7\times 4 }{ 1000 } +\dfrac { 3 }{ 10 } +\dfrac { 8 }{ 10 } +\dfrac { 8 }{ 10 }  } =\dfrac { 28 }{ 102+28 } =\dfrac { 28 }{ 130 } $$
    Hence, the answer is $$\dfrac { 28 }{ 130}.$$
  • Question 10
    1 / -0
    If $$E$$ and $$F$$ are independent events such that $$P(E) = 0.7$$ and $$P(F) = 0.3$$, then P$$\displaystyle (E\cap F)$$
    Solution
    Since, $$E$$ and $$F$$ are independent events with $$P(E) = 0.7$$ and $$P(F) = 0.3 $$
    $$\therefore $$ P$$\displaystyle (E\cap F) = P(E)\times P(F)$$
    $$\Rightarrow $$ P$$\displaystyle (E\cap F)  = 0.7\times 0.3 $$
    $$\Rightarrow $$ P$$\displaystyle (E\cap F)  = 0.21$$
    $$\therefore $$ Option C is correct.
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