Probability of coins in a bag












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$begingroup$


Two bags contain $10$ coins each, and the coins in each bag are numbered from $1$ to $10$. One coin is drawn at random from each bag. The probability that one coin has the value $1,2,3$ or $4$ and the other coin has the value $7,8,9$ or $10$ is? I think the answer is $4/25$ but, my friend disagrees and says it is $8/25$



Solution: Since the probability of getting one the $4$ four numbers in a bag of $10$ is $4/10$ and the probability for getting the other $4$ coins in a bag of $10$ is also $4/10$, the total probability is $(4/10)cdot(4/10)$ which is $4/25$. My friend's approach is that we don't know which bag we are going to choose first. We can either choose $1,2,3$ or $4$ from the $1$st or the $2$nd bag thus $2cdot(4/25)$ which is $8/25$.










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  • $begingroup$
    How did you get these answers? Could you please edit this question to include your work? It would help us see where a mistake is. (by the way, your answer is wrong, probably because you are only counting $P(text{coin}_1in{1,2,3,4}cap text{coin}_2in{7,8,9,10}$, and not the reverse)
    $endgroup$
    – John Doe
    Jan 6 at 17:41


















0












$begingroup$


Two bags contain $10$ coins each, and the coins in each bag are numbered from $1$ to $10$. One coin is drawn at random from each bag. The probability that one coin has the value $1,2,3$ or $4$ and the other coin has the value $7,8,9$ or $10$ is? I think the answer is $4/25$ but, my friend disagrees and says it is $8/25$



Solution: Since the probability of getting one the $4$ four numbers in a bag of $10$ is $4/10$ and the probability for getting the other $4$ coins in a bag of $10$ is also $4/10$, the total probability is $(4/10)cdot(4/10)$ which is $4/25$. My friend's approach is that we don't know which bag we are going to choose first. We can either choose $1,2,3$ or $4$ from the $1$st or the $2$nd bag thus $2cdot(4/25)$ which is $8/25$.










share|cite|improve this question











$endgroup$












  • $begingroup$
    How did you get these answers? Could you please edit this question to include your work? It would help us see where a mistake is. (by the way, your answer is wrong, probably because you are only counting $P(text{coin}_1in{1,2,3,4}cap text{coin}_2in{7,8,9,10}$, and not the reverse)
    $endgroup$
    – John Doe
    Jan 6 at 17:41
















0












0








0





$begingroup$


Two bags contain $10$ coins each, and the coins in each bag are numbered from $1$ to $10$. One coin is drawn at random from each bag. The probability that one coin has the value $1,2,3$ or $4$ and the other coin has the value $7,8,9$ or $10$ is? I think the answer is $4/25$ but, my friend disagrees and says it is $8/25$



Solution: Since the probability of getting one the $4$ four numbers in a bag of $10$ is $4/10$ and the probability for getting the other $4$ coins in a bag of $10$ is also $4/10$, the total probability is $(4/10)cdot(4/10)$ which is $4/25$. My friend's approach is that we don't know which bag we are going to choose first. We can either choose $1,2,3$ or $4$ from the $1$st or the $2$nd bag thus $2cdot(4/25)$ which is $8/25$.










share|cite|improve this question











$endgroup$




Two bags contain $10$ coins each, and the coins in each bag are numbered from $1$ to $10$. One coin is drawn at random from each bag. The probability that one coin has the value $1,2,3$ or $4$ and the other coin has the value $7,8,9$ or $10$ is? I think the answer is $4/25$ but, my friend disagrees and says it is $8/25$



Solution: Since the probability of getting one the $4$ four numbers in a bag of $10$ is $4/10$ and the probability for getting the other $4$ coins in a bag of $10$ is also $4/10$, the total probability is $(4/10)cdot(4/10)$ which is $4/25$. My friend's approach is that we don't know which bag we are going to choose first. We can either choose $1,2,3$ or $4$ from the $1$st or the $2$nd bag thus $2cdot(4/25)$ which is $8/25$.







probability






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edited Jan 6 at 18:09









Namaste

1




1










asked Jan 6 at 17:38









Ganesh VenkateshGanesh Venkatesh

61




61












  • $begingroup$
    How did you get these answers? Could you please edit this question to include your work? It would help us see where a mistake is. (by the way, your answer is wrong, probably because you are only counting $P(text{coin}_1in{1,2,3,4}cap text{coin}_2in{7,8,9,10}$, and not the reverse)
    $endgroup$
    – John Doe
    Jan 6 at 17:41




















  • $begingroup$
    How did you get these answers? Could you please edit this question to include your work? It would help us see where a mistake is. (by the way, your answer is wrong, probably because you are only counting $P(text{coin}_1in{1,2,3,4}cap text{coin}_2in{7,8,9,10}$, and not the reverse)
    $endgroup$
    – John Doe
    Jan 6 at 17:41


















$begingroup$
How did you get these answers? Could you please edit this question to include your work? It would help us see where a mistake is. (by the way, your answer is wrong, probably because you are only counting $P(text{coin}_1in{1,2,3,4}cap text{coin}_2in{7,8,9,10}$, and not the reverse)
$endgroup$
– John Doe
Jan 6 at 17:41






$begingroup$
How did you get these answers? Could you please edit this question to include your work? It would help us see where a mistake is. (by the way, your answer is wrong, probably because you are only counting $P(text{coin}_1in{1,2,3,4}cap text{coin}_2in{7,8,9,10}$, and not the reverse)
$endgroup$
– John Doe
Jan 6 at 17:41












2 Answers
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$begingroup$

Let the probability that coin drawn from the first bag is $1,2,3,4$ be $p_1$. We can quickly see that



$$p_1 = frac{4}{10}$$



Now the probability that coin drawn from the second bag is $7,8,9,10$ be $p_2$. We can see again that this probability is



$$p_2 = frac{4}{10}$$



So net probability will be a product of $p_1$ and $p_2$ as they are independent events and both need to happen simultaneously.



$$P_1 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



Now we take the second case that the coin drawn from first bag is $1,2,3,4$ and coin from the second bag is $7,8,9,20$. Since both bags are identical, this gives us the probability same as before



$$P_2 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



Summing up $P_1$ and $P_2$ (as we need to find the union and they are mutually exclusive)



$$P = P_1 +P_2 = frac{32}{100} = frac{8}{25}$$






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$endgroup$





















    0












    $begingroup$

    Another approach to the answer:
    Possible combinations of sample space are {(1,1),(1,2)...(1,10),(2,1)...(10,10)}. Thus n(S) = 10x10 = 100.



    Possible combinations of coins (event E) are {(1,7),(1,8),(1,9),(1,10),(2,7)...(4,10),(7,1),(7,2)...(10,4)}. So n(E) = 2x4x4 = 32.
    (Multiplied by 2 since both outcomes like 1,7 and 7,1 are possible).



    P(E) = n(E)/n(S) = 32/100 = 8/25






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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

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      active

      oldest

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      0












      $begingroup$

      Let the probability that coin drawn from the first bag is $1,2,3,4$ be $p_1$. We can quickly see that



      $$p_1 = frac{4}{10}$$



      Now the probability that coin drawn from the second bag is $7,8,9,10$ be $p_2$. We can see again that this probability is



      $$p_2 = frac{4}{10}$$



      So net probability will be a product of $p_1$ and $p_2$ as they are independent events and both need to happen simultaneously.



      $$P_1 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



      Now we take the second case that the coin drawn from first bag is $1,2,3,4$ and coin from the second bag is $7,8,9,20$. Since both bags are identical, this gives us the probability same as before



      $$P_2 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



      Summing up $P_1$ and $P_2$ (as we need to find the union and they are mutually exclusive)



      $$P = P_1 +P_2 = frac{32}{100} = frac{8}{25}$$






      share|cite|improve this answer









      $endgroup$


















        0












        $begingroup$

        Let the probability that coin drawn from the first bag is $1,2,3,4$ be $p_1$. We can quickly see that



        $$p_1 = frac{4}{10}$$



        Now the probability that coin drawn from the second bag is $7,8,9,10$ be $p_2$. We can see again that this probability is



        $$p_2 = frac{4}{10}$$



        So net probability will be a product of $p_1$ and $p_2$ as they are independent events and both need to happen simultaneously.



        $$P_1 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



        Now we take the second case that the coin drawn from first bag is $1,2,3,4$ and coin from the second bag is $7,8,9,20$. Since both bags are identical, this gives us the probability same as before



        $$P_2 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



        Summing up $P_1$ and $P_2$ (as we need to find the union and they are mutually exclusive)



        $$P = P_1 +P_2 = frac{32}{100} = frac{8}{25}$$






        share|cite|improve this answer









        $endgroup$
















          0












          0








          0





          $begingroup$

          Let the probability that coin drawn from the first bag is $1,2,3,4$ be $p_1$. We can quickly see that



          $$p_1 = frac{4}{10}$$



          Now the probability that coin drawn from the second bag is $7,8,9,10$ be $p_2$. We can see again that this probability is



          $$p_2 = frac{4}{10}$$



          So net probability will be a product of $p_1$ and $p_2$ as they are independent events and both need to happen simultaneously.



          $$P_1 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



          Now we take the second case that the coin drawn from first bag is $1,2,3,4$ and coin from the second bag is $7,8,9,20$. Since both bags are identical, this gives us the probability same as before



          $$P_2 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



          Summing up $P_1$ and $P_2$ (as we need to find the union and they are mutually exclusive)



          $$P = P_1 +P_2 = frac{32}{100} = frac{8}{25}$$






          share|cite|improve this answer









          $endgroup$



          Let the probability that coin drawn from the first bag is $1,2,3,4$ be $p_1$. We can quickly see that



          $$p_1 = frac{4}{10}$$



          Now the probability that coin drawn from the second bag is $7,8,9,10$ be $p_2$. We can see again that this probability is



          $$p_2 = frac{4}{10}$$



          So net probability will be a product of $p_1$ and $p_2$ as they are independent events and both need to happen simultaneously.



          $$P_1 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



          Now we take the second case that the coin drawn from first bag is $1,2,3,4$ and coin from the second bag is $7,8,9,20$. Since both bags are identical, this gives us the probability same as before



          $$P_2 = frac{4}{10}cdot frac{4}{10} frac{16}{100}$$



          Summing up $P_1$ and $P_2$ (as we need to find the union and they are mutually exclusive)



          $$P = P_1 +P_2 = frac{32}{100} = frac{8}{25}$$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 6 at 17:52









          Sauhard SharmaSauhard Sharma

          953318




          953318























              0












              $begingroup$

              Another approach to the answer:
              Possible combinations of sample space are {(1,1),(1,2)...(1,10),(2,1)...(10,10)}. Thus n(S) = 10x10 = 100.



              Possible combinations of coins (event E) are {(1,7),(1,8),(1,9),(1,10),(2,7)...(4,10),(7,1),(7,2)...(10,4)}. So n(E) = 2x4x4 = 32.
              (Multiplied by 2 since both outcomes like 1,7 and 7,1 are possible).



              P(E) = n(E)/n(S) = 32/100 = 8/25






              share|cite|improve this answer











              $endgroup$


















                0












                $begingroup$

                Another approach to the answer:
                Possible combinations of sample space are {(1,1),(1,2)...(1,10),(2,1)...(10,10)}. Thus n(S) = 10x10 = 100.



                Possible combinations of coins (event E) are {(1,7),(1,8),(1,9),(1,10),(2,7)...(4,10),(7,1),(7,2)...(10,4)}. So n(E) = 2x4x4 = 32.
                (Multiplied by 2 since both outcomes like 1,7 and 7,1 are possible).



                P(E) = n(E)/n(S) = 32/100 = 8/25






                share|cite|improve this answer











                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  Another approach to the answer:
                  Possible combinations of sample space are {(1,1),(1,2)...(1,10),(2,1)...(10,10)}. Thus n(S) = 10x10 = 100.



                  Possible combinations of coins (event E) are {(1,7),(1,8),(1,9),(1,10),(2,7)...(4,10),(7,1),(7,2)...(10,4)}. So n(E) = 2x4x4 = 32.
                  (Multiplied by 2 since both outcomes like 1,7 and 7,1 are possible).



                  P(E) = n(E)/n(S) = 32/100 = 8/25






                  share|cite|improve this answer











                  $endgroup$



                  Another approach to the answer:
                  Possible combinations of sample space are {(1,1),(1,2)...(1,10),(2,1)...(10,10)}. Thus n(S) = 10x10 = 100.



                  Possible combinations of coins (event E) are {(1,7),(1,8),(1,9),(1,10),(2,7)...(4,10),(7,1),(7,2)...(10,4)}. So n(E) = 2x4x4 = 32.
                  (Multiplied by 2 since both outcomes like 1,7 and 7,1 are possible).



                  P(E) = n(E)/n(S) = 32/100 = 8/25







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  answered Jan 6 at 18:04


























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                  Martand Aditya































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