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Probability Test 24

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Probability Test 24
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  • Question 1
    1 / -0
    The probability that certain electronic component fails when first used is $$0.10.$$ If it does not fail immediately, the probability that is lasts for one year is $$0.99.$$ The probability that a new component will last for one year is
    Solution
    Given: probability that electronic component fails when first used $$\displaystyle =0.10,$$ i.e., $$\displaystyle P\left( F \right) =0.10$$
    $$\displaystyle \therefore P\left( F' \right) =1-P\left( F \right) =0.90$$
    and let $$P(Y)=$$ probability of new component to last for one year 
    Obviously, the two events are mutually exclusive and exhaustive.
    $$\displaystyle \therefore P\left( \frac { Y }{ F }  \right) =0$$ and $$\displaystyle  P\left( \frac { Y }{ F' }  \right) =0.99$$
    $$\displaystyle \therefore P\left( Y \right) =P\left( F \right) .P\left( \frac { Y }{ F }  \right) +P\left( F' \right) .P\left( \frac { Y }{ F' }  \right) $$  
    $$\displaystyle =0.10\times 0+0.90\times 0.99=0+\left( 0.9 \right) \left( 0.99 \right) =0.891.$$
  • Question 2
    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

    Given that she does not achieve success, the chance she studied for 4 hour, 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,$$\displaystyle P(C)=0.7$$
    $$\therefore The\;probability\;that\;she\;will\;be\;successful,P(S)=P(t_{10})*P(A)+P(t_{7})*P(B)+P(t_{4})*P(S/t_{4})$$
    $$=0.8*0.1+0.6*0.2+0.4*0.7=0.48$$
    $$\therefore$$ The probability that she will not success,$$P(\overline S)=1-P(S)=1-0.48=0.52$$
    But probability that she studies 4 hours per day but didn't success=$$P(\overline t_{4} \cap C)=P(\overline t_{4})P(C)=(1-0.4)*0.7=0.42$$
    Since $$(A,t_{10}),(B,t_{7}),(C,t_{4})$$ pairwise independent $$\Rightarrow P(A \cap B)=P(A).P(B)$$
    If $$(A,t_{10}),(B,t_{7}),(C,t_{4})$$ are independent,then $$(A,\overline t_{10}),(B,\overline t_{7}),(C,\overline t_{4}),(\overline A,t_{10}),(\overline B,t_{7}),(\overline C,t_{4})$$ will also be $$independent.$$
    $$\therefore$$ The probability that she studies 4 hours per day given she is not successful,$$P(C/\overline S)=\displaystyle\frac{P(C \cap \overline S)}{P(\overline S)}$$
    $$=\displaystyle\frac{0.42}{0.52}=\displaystyle\frac{21}{26}$$
  • Question 3
    1 / -0
    A signal which can be green or red with probability $$\displaystyle \frac{4}{5}$$ and $$\displaystyle \frac{1}{5}$$, respectively, is received at station A and then transmitted to station B. The probability of each station receiving the signal correctly is $$\displaystyle \frac{3}{4}$$. If the signal received at station B is green, then the probability that the original signal was green is
    Solution
     Event $$G$$ = original signal is green
    $$E_1=A$$ receives the signal correct
    $$E_2=B$$ receives the signal correct
    E = signal received by B is green
    $$P(\text{signal received by B is green}) = P(GE_1E_2)+ P(G\cap {E_1}\cap {E_2})+ P(\cap GE_1\cap{E_2})+ P(\cap G\cap {E_1}E_2)$$
    $$P(E)=\dfrac {46}{5\times 16}$$
    $$ P(G/E)=\dfrac {\dfrac {40}5\times 16}{\dfrac {46}5\times16}=\dfrac {20}{23}.$$
  • Question 4
    1 / -0
    A person goes to office by car, scooter, bus and train, probability of which are $$\dfrac 17, \dfrac 37, \dfrac 27$$ and $$\dfrac 17$$, respectively. Probability that he reaches office late, if he takes car, scooter, bus or train is $$\dfrac 29, \dfrac 19. \dfrac 49$$, and $$\dfrac 19$$, respectively. Given that he reached office in time, the probability that he travelled by a car, is
    Solution

    Let the event of person goes to office by a car, scooter, bus or train be A, B, C and D, respectively.

    We, have $$P(A)=\dfrac{1}{7},P(B)=\dfrac{3}{7}, P(C)=\dfrac{2}{7}$$ and $$P(D)=\dfrac{1}{7}$$

    Let $$E=$$ He reached office in time

    We have,

    $$P\left(\dfrac{\overline{E}}{A}\right)=\dfrac{2}{9}, P\left(\dfrac{\overline{E}}{B}\right)=\dfrac{1}{9}, P\left(\dfrac{\overline{E}}{C}\right)=\dfrac{4}{9}$$ and $$ P\left(\dfrac{\overline{E}}{D}\right)=\dfrac{1}{9}$$

    $$\therefore \displaystyle P\left(\frac{A}{E}\right) = \frac{P(A)\cdot P\left(\frac{E}{A}\right)}{P(A)\cdot P\left(\frac{E}{A}\right)+P(B)\cdot \left(\frac{E}{B}\right)}+P(C)\cdot P\left(\frac{E}{C}\right)+P(D)\cdot \left(\frac{E}{D}\right)$$

    $$\displaystyle =\dfrac{\dfrac{1}{7}\cdot \dfrac{7}{9}}{\dfrac{1}{7}\cdot \dfrac{7}{9}+\dfrac{3}{9}\cdot \dfrac{8}{9}+\dfrac{2}{7}\cdot \dfrac{5}{9}+\dfrac{1}{7}\cdot \dfrac{8}{9}}$$

    $$=\dfrac{7}{7+24+10+8}=\dfrac{7}{49}=\dfrac{1}{7}$$

  • Question 5
    1 / -0
    For $$k=1, 2, 3$$ the box $${ B }_{ k }$$ contains $$k$$ red balls and $$\left( k+1 \right) $$ white balls, let $$P\left( { B }_{ 1 } \right) =\dfrac { 1 }{ 2 } ,P\left( { B }_{ 2 } \right) =1$$ and $$P\left( { B }_{ 3 } \right) =\dfrac { 1 }{ 6 } $$. A box is selected at random and a ball is drawn from it. If a red ball is drawn, then the probability that it has come from box $${ B }_{ 2 }$$ is
    Solution
    In a box,
           $${ B }_{ 1 }=1R,2W$$
           $${ B }_{ 2 }=2R,3W$$
    and $${ B }_{ 3 }=3R,4W$$

    Also, given that,
    $$P\left( { B }_{ 1 } \right) =\dfrac { 1 }{ 2 } ,\quad P\left( { B }_{ 2 } \right) =\dfrac { 1 }{ 3 } $$ and $$P\left( { B }_{ 3 } \right) =\dfrac { 1 }{ 6 } $$

    $$\therefore P\left( \dfrac { { B }_{ 2 } }{ R }  \right) =\dfrac { P\left( { B }_{ 2 } \right) P\left( \dfrac { R }{ { B }_{ 2 } }  \right)  }{ P\left( { B }_{ 1 } \right) P\left( \dfrac { R }{ { B }_{ 1 } }  \right) +P\left( { B }_{ 2 } \right) P\left( \dfrac { R }{ { B }_{ 2 } }  \right) +P\left( { B }_{ 3 } \right) P\left( \dfrac { R }{ { B }_{ 3 } }  \right)  } $$

            $$=\dfrac { \dfrac { 1 }{ 3 } \times \dfrac { 2 }{ 5 }  }{ \dfrac { 1 }{ 2 } \times \dfrac { 1 }{ 3 } \times \dfrac { 1 }{ 3 } \times \dfrac { 2 }{ 5 } +\dfrac { 1 }{ 6 } \times \dfrac { 3 }{ 7 }  } =\dfrac { \dfrac { 2 }{ 15 }  }{ \dfrac { 1 }{ 6 } +\dfrac { 2 }{ 15 } +\dfrac { 1 }{ 14 }  } $$

            $$=\dfrac { \dfrac { 2 }{ 15 }  }{ \dfrac { 35+28+15 }{ 210 }  } =\dfrac { 2 }{ 15 } \times \dfrac { 210 }{ 78 } =\dfrac { 14 }{ 39 } $$
  • Question 6
    1 / -0
    A student answers a multiple choice question with $$5$$ alternatives, of which exactly one is correct. The probability that he knows the correct answer is $$p, 0 < p < 1$$. If he does not know the correct answer, he randomly ticks one answer. Given that he has answered the question correctly, the probability that he did not tick the answer randomly, is
    Solution
    Let, $${E}_{1}= $$ Student does not know the answer
           $${E}_{2}= $$ Student knows the answer
    and $$E=$$ Student answer correctly.

    $$\therefore P\left( { E }_{ 1 } \right) =1-p$$
          $$P\left( { E }_{ 2 } \right) =p$$
    $$P\left( \dfrac { E }{ { E }_{ 2 } }  \right) =1$$ and $$P\left( \dfrac { E }{ { E }_{ 1 } }  \right) =\dfrac { 1 }{ 5 } $$
    $$\therefore $$ The probability that student did not tick the answer randomly
    $$=$$ The probability that student tick the answer correctly

    $$=\dfrac { P\left( { E }_{ 2 } \right) P\left( \dfrac { E }{ { E }_{ 2 } }  \right)  }{ P\left( { E }_{ 1 } \right) P\left( \dfrac { E }{ { E }_{ 1 } }  \right) +P\left( { E }_{ 2 } \right) P\left( \dfrac { E }{ { E }_{ 2 } }  \right)  } $$

    $$\displaystyle =\dfrac { p\left( 1 \right)  }{ \left( 1-p \right) \dfrac { 1 }{ 5 } +p\left( 1 \right)  } $$

    $$=\dfrac { p }{ \dfrac { 1-p+5p }{ 5 }  } =\dfrac { 5p }{ 1+4p } $$
  • Question 7
    1 / -0
    In an entrances test, there are multiple choice questions. There are four possible answers it each question, of which one is correct. The probability that a student knows the answer to a question is $$9/10$$. If he gets the correct answer to a question, then the probability that he was guessing is
    Solution
    Let $$E_1$$ be the probability that he guesses the answer and $$E_2$$ be the probability that he knows the answer

     $$\therefore P\left(E_2\right)=\dfrac{9}{10}$$
    As $$E_1$$ and $$E_2$$ are mutually exclusive, 
    $$\therefore P\left(E_1\right)+P\left(E_2\right)=1$$
    $$\Rightarrow  P\left(E_1\right)=\dfrac{1}{10}$$

    Let $$A$$ be the event that he answers correctly

    Probability that he guesses the answer correctly is
    $$ \therefore$$ $$P\left(\dfrac{A}{E1} \right) = \dfrac{1}{4}$$
    $$P\left(\dfrac{A}{E2}\right)= 1 $$
    i.e. probability that he answers correctly given that he knows the answer will be 1.

    Using Baye's theorem 

    $$P\left(E_1 / A \right) =\dfrac{P(E_1)\times P(A/E_1)}{(P(E_1)\times P(A/E_1)+P(E_2) \times P(A/E_2))}$$ 

    $$P\left( E_1 /A \right) = \dfrac{\dfrac{1}{10} \times \dfrac{1}{4}}{\dfrac{1}{4} \times \dfrac{1}{10} + \dfrac{9}{10} \times 1} = \dfrac{1}{37}$$
  • Question 8
    1 / -0
    A survey of people in a given region showed that $$20 \%$$ were smokers. The probability of death due lung cancer, given that a person smoked, was $$10$$ times the probability of death due to lung cancer, given that a person did not smoke. If the probability of death due to lungs cancer in the region is $$0.006$$. What is the probability of depth due to lung cancer given that a person is a smoker?
    Solution
    Let $$S$$$$=$$ Event that person is smoker
    $$NS$$ $$=$$ Event that person is non-smoker
    $$D=$$ Event that death is due to lung cancer.
    Now, probability of death due to cancer that a person is a smoker,
    $$P(D)=P(S)\cdot P\left(\dfrac{D}{S}\right)+P(NS)\cdot \left(\dfrac{D}{NS}\right)$$$$\Rightarrow 0,006=\dfrac{20}{100}\times P\left(\dfrac{D}{S}\right)+\dfrac{80}{100}\times \dfrac{1}{10}\times P\left(\dfrac{D}{S}\right)$$
    $$\Rightarrow \dfrac{6}{1000}=\dfrac{2}{10}P\left(\dfrac{D}{S}\right)+\dfrac{8}{100}P\left(\dfrac{D}{S}\right)$$
    $$\Rightarrow P\left(\dfrac{D}{S}\right)\left[\dfrac{2}{10}+\dfrac{8}{100}\right]=\dfrac{6}{1000}$$
    $$\Rightarrow P\left(\dfrac{D}{S}\right)\left[\dfrac{20+8}{100}\right]=\dfrac{6}{1000}$$
    $$\therefore P\left(\dfrac{D}{S}\right)=\dfrac{6}{1000}\times \dfrac{100}{28}$$
    $$=\dfrac{3}{140}$$
  • Question 9
    1 / -0
    Suppose a girl throws a die. If she gets a $$5$$ or $$6$$, she tosses a coin $$3$$ times and notes the number of heads. If she gets $$1, 2, 3$$ or $$4$$ she tosses a coin once and notes whether a head or tail is obtained. If she obtained exactly one head, what is the probability that she threw $$1, 2, 3$$ or $$4$$ with the die?
    Solution
    Let $${ E }_{ 1 }$$ be the event that the outcome on the die is $$5$$ or $$6.$$

    Let $${ E }_{ 2 }$$ be the event that the outcome on the die is $$1, 2, 3$$ or $$4.$$
    Therefore,

    $$P\left( { E }_{ 1 } \right) =\dfrac { 2 }{ 6 } =\dfrac { 1 }{ 3 } \\$$ 

    $$P\left( { E }_{ 2 } \right) =\dfrac { 4 }{ 6 } =\dfrac { 2 }{ 3 }$$ 

    Let $$A$$ be the event of getting exactly one head. Then,

    $$P\left( { \dfrac { A }{ { E }_{ 1 } }  } \right) =\dfrac { 3 }{ 8 }$$ 

    $$P\left( { \dfrac { A }{ { E }_{ 2 } }  } \right) =\dfrac { 1 }{ 2 }$$ 

    Using Baye's theorem,

    $$P\left( { \dfrac { { E }_{ 2 } }{ A }  } \right) =\dfrac { P\left( { E }_{ 2 } \right) \cdot P\left( { \dfrac { A }{ { E }_{ 2 } }  } \right)  }{ P\left( { E }_{ 1 } \right) \cdot P\left( { \dfrac { A }{ { E }_{ 1 } }  } \right) +P\left( { E }_{ 2 } \right) \cdot P\left( { \dfrac { A }{ { E }_{ 2 } }  } \right)  }$$ 

    $$P\left( { \dfrac { { E }_{ 2 } }{ A }  } \right) =\dfrac { \dfrac { 2 }{ 3 } \cdot \dfrac { 1 }{ 2 }  }{ \dfrac { 1 }{ 3 } \cdot \dfrac { 3 }{ 8 } +\dfrac { 2 }{ 3 } \cdot \dfrac { 1 }{ 2 }  } $$ 

    $$=\dfrac { 1 }{ \dfrac { 3 }{ 8 } +1 }$$ $$=\dfrac { 1 }{ \dfrac { 11 }{ 8 }  }$$  $$=\dfrac { 8 }{ 11 } \\$$. 
  • Question 10
    1 / -0
    A screw factory has two machines, the M1, which is old, and does $$75 \%$$ of all the screws, and the M2, newer but small, that does $$25 \%$$ of the screws. The M1 does $$4 \%$$ of defective screws, while the M2 just does $$2 \%$$ of defective screws. If we choose a screw at random: what is the probability that it turns out to be defective?
    Solution
    The diagrammatic representation of the problem is shown above.
    We consider the following events;
    $$M1 =$$ being produced by machine $$1$$.
    Therefore, $$\overline{M1}=M2$$ being produced by machine $$2$$.
    $$D=$$ defective screw.
    In the diagram we can see the red branch in which we are interested.
    The top branch being produced by machine $$1$$ and being defective has probability $$\dfrac{75}{100} \times \dfrac{4}{100}=0.75 \times 0.04=0.03$$. 
    The bottom branch being produced by machine $$2$$ and being defective has probability $$\dfrac{25}{100} \times \dfrac{2}{100}=0.25 \times 0.02=0.005$$. 
    Therefore, the probability of being defective is $$0.03+0.005=0.035$$.

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