Tossing a coin (5,10) and throwing a die (1-6) at the same time twice












1












$begingroup$


You flip a coin having a 5 on one side and a 10 on the other. At the same time, you throw a normal 6-sided die. So there are 12 possible combinations. You add the two numbers. This gives 10 possible unique results and two possibilities to get 11 (5+6 and 10+1).



If you perform the experiment twice, what is the probability to get 11 at least once?



I thought that this has to be calculated by using the counter-probability. The probability to get 11 is $frac{2}{12}$ or $frac{1}{6}$.
So the counter-probability when doing the experiment twice is $frac{5}{6}^2 = frac{25}{36}$.
Therefore the probability to get 11 at least once should be $frac{11}{36}$ (30.55 %).



But this seems to be incorrect. What am I doing wrong?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    What is the correct answer? Unless you have mis-stated the question, this seems correct to me.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 14:43












  • $begingroup$
    I wrote a little simulation in Python and got approx. 44% chance. Despite this, the professor said that the solution is wrong.
    $endgroup$
    – Kranze
    Jan 21 at 15:05










  • $begingroup$
    Could you recheck the question. I don't see any way to claim that you are wrong.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:11










  • $begingroup$
    Here is my script: <!-- language: lang-py --> import random def throw(): '''coin toss''' coin = random.choice([5, 10]) die = random.choice([1,2,3,4,5,6]) return bool(coin+die==11) def main(): '''perform experiment''' t, f = 0, 0 # true , false counter for _ in range(1000000): throw1 = throw() throw2 = throw() if throw1 or throw2: t+=1 else: f+=1 print(t/f)
    $endgroup$
    – Kranze
    Jan 21 at 15:20












  • $begingroup$
    I hate the fact that I do not know any codes. Can you tell me how I can implement this myself?
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:25
















1












$begingroup$


You flip a coin having a 5 on one side and a 10 on the other. At the same time, you throw a normal 6-sided die. So there are 12 possible combinations. You add the two numbers. This gives 10 possible unique results and two possibilities to get 11 (5+6 and 10+1).



If you perform the experiment twice, what is the probability to get 11 at least once?



I thought that this has to be calculated by using the counter-probability. The probability to get 11 is $frac{2}{12}$ or $frac{1}{6}$.
So the counter-probability when doing the experiment twice is $frac{5}{6}^2 = frac{25}{36}$.
Therefore the probability to get 11 at least once should be $frac{11}{36}$ (30.55 %).



But this seems to be incorrect. What am I doing wrong?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    What is the correct answer? Unless you have mis-stated the question, this seems correct to me.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 14:43












  • $begingroup$
    I wrote a little simulation in Python and got approx. 44% chance. Despite this, the professor said that the solution is wrong.
    $endgroup$
    – Kranze
    Jan 21 at 15:05










  • $begingroup$
    Could you recheck the question. I don't see any way to claim that you are wrong.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:11










  • $begingroup$
    Here is my script: <!-- language: lang-py --> import random def throw(): '''coin toss''' coin = random.choice([5, 10]) die = random.choice([1,2,3,4,5,6]) return bool(coin+die==11) def main(): '''perform experiment''' t, f = 0, 0 # true , false counter for _ in range(1000000): throw1 = throw() throw2 = throw() if throw1 or throw2: t+=1 else: f+=1 print(t/f)
    $endgroup$
    – Kranze
    Jan 21 at 15:20












  • $begingroup$
    I hate the fact that I do not know any codes. Can you tell me how I can implement this myself?
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:25














1












1








1





$begingroup$


You flip a coin having a 5 on one side and a 10 on the other. At the same time, you throw a normal 6-sided die. So there are 12 possible combinations. You add the two numbers. This gives 10 possible unique results and two possibilities to get 11 (5+6 and 10+1).



If you perform the experiment twice, what is the probability to get 11 at least once?



I thought that this has to be calculated by using the counter-probability. The probability to get 11 is $frac{2}{12}$ or $frac{1}{6}$.
So the counter-probability when doing the experiment twice is $frac{5}{6}^2 = frac{25}{36}$.
Therefore the probability to get 11 at least once should be $frac{11}{36}$ (30.55 %).



But this seems to be incorrect. What am I doing wrong?










share|cite|improve this question











$endgroup$




You flip a coin having a 5 on one side and a 10 on the other. At the same time, you throw a normal 6-sided die. So there are 12 possible combinations. You add the two numbers. This gives 10 possible unique results and two possibilities to get 11 (5+6 and 10+1).



If you perform the experiment twice, what is the probability to get 11 at least once?



I thought that this has to be calculated by using the counter-probability. The probability to get 11 is $frac{2}{12}$ or $frac{1}{6}$.
So the counter-probability when doing the experiment twice is $frac{5}{6}^2 = frac{25}{36}$.
Therefore the probability to get 11 at least once should be $frac{11}{36}$ (30.55 %).



But this seems to be incorrect. What am I doing wrong?







probability dice






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Jan 21 at 15:43









Especially Lime

22.3k22858




22.3k22858










asked Jan 21 at 14:40









KranzeKranze

84




84








  • 1




    $begingroup$
    What is the correct answer? Unless you have mis-stated the question, this seems correct to me.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 14:43












  • $begingroup$
    I wrote a little simulation in Python and got approx. 44% chance. Despite this, the professor said that the solution is wrong.
    $endgroup$
    – Kranze
    Jan 21 at 15:05










  • $begingroup$
    Could you recheck the question. I don't see any way to claim that you are wrong.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:11










  • $begingroup$
    Here is my script: <!-- language: lang-py --> import random def throw(): '''coin toss''' coin = random.choice([5, 10]) die = random.choice([1,2,3,4,5,6]) return bool(coin+die==11) def main(): '''perform experiment''' t, f = 0, 0 # true , false counter for _ in range(1000000): throw1 = throw() throw2 = throw() if throw1 or throw2: t+=1 else: f+=1 print(t/f)
    $endgroup$
    – Kranze
    Jan 21 at 15:20












  • $begingroup$
    I hate the fact that I do not know any codes. Can you tell me how I can implement this myself?
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:25














  • 1




    $begingroup$
    What is the correct answer? Unless you have mis-stated the question, this seems correct to me.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 14:43












  • $begingroup$
    I wrote a little simulation in Python and got approx. 44% chance. Despite this, the professor said that the solution is wrong.
    $endgroup$
    – Kranze
    Jan 21 at 15:05










  • $begingroup$
    Could you recheck the question. I don't see any way to claim that you are wrong.
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:11










  • $begingroup$
    Here is my script: <!-- language: lang-py --> import random def throw(): '''coin toss''' coin = random.choice([5, 10]) die = random.choice([1,2,3,4,5,6]) return bool(coin+die==11) def main(): '''perform experiment''' t, f = 0, 0 # true , false counter for _ in range(1000000): throw1 = throw() throw2 = throw() if throw1 or throw2: t+=1 else: f+=1 print(t/f)
    $endgroup$
    – Kranze
    Jan 21 at 15:20












  • $begingroup$
    I hate the fact that I do not know any codes. Can you tell me how I can implement this myself?
    $endgroup$
    – Mohammad Zuhair Khan
    Jan 21 at 15:25








1




1




$begingroup$
What is the correct answer? Unless you have mis-stated the question, this seems correct to me.
$endgroup$
– Mohammad Zuhair Khan
Jan 21 at 14:43






$begingroup$
What is the correct answer? Unless you have mis-stated the question, this seems correct to me.
$endgroup$
– Mohammad Zuhair Khan
Jan 21 at 14:43














$begingroup$
I wrote a little simulation in Python and got approx. 44% chance. Despite this, the professor said that the solution is wrong.
$endgroup$
– Kranze
Jan 21 at 15:05




$begingroup$
I wrote a little simulation in Python and got approx. 44% chance. Despite this, the professor said that the solution is wrong.
$endgroup$
– Kranze
Jan 21 at 15:05












$begingroup$
Could you recheck the question. I don't see any way to claim that you are wrong.
$endgroup$
– Mohammad Zuhair Khan
Jan 21 at 15:11




$begingroup$
Could you recheck the question. I don't see any way to claim that you are wrong.
$endgroup$
– Mohammad Zuhair Khan
Jan 21 at 15:11












$begingroup$
Here is my script: <!-- language: lang-py --> import random def throw(): '''coin toss''' coin = random.choice([5, 10]) die = random.choice([1,2,3,4,5,6]) return bool(coin+die==11) def main(): '''perform experiment''' t, f = 0, 0 # true , false counter for _ in range(1000000): throw1 = throw() throw2 = throw() if throw1 or throw2: t+=1 else: f+=1 print(t/f)
$endgroup$
– Kranze
Jan 21 at 15:20






$begingroup$
Here is my script: <!-- language: lang-py --> import random def throw(): '''coin toss''' coin = random.choice([5, 10]) die = random.choice([1,2,3,4,5,6]) return bool(coin+die==11) def main(): '''perform experiment''' t, f = 0, 0 # true , false counter for _ in range(1000000): throw1 = throw() throw2 = throw() if throw1 or throw2: t+=1 else: f+=1 print(t/f)
$endgroup$
– Kranze
Jan 21 at 15:20














$begingroup$
I hate the fact that I do not know any codes. Can you tell me how I can implement this myself?
$endgroup$
– Mohammad Zuhair Khan
Jan 21 at 15:25




$begingroup$
I hate the fact that I do not know any codes. Can you tell me how I can implement this myself?
$endgroup$
– Mohammad Zuhair Khan
Jan 21 at 15:25










1 Answer
1






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oldest

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1












$begingroup$

Your calculation is correct, the probability is $frac{11}{36}$. Your code (given in comments) is not giving the right answer because it outputs #successes / #failures instead of #successes / #attempts. Just change the last line to print(t/1000000).






share|cite|improve this answer









$endgroup$













  • $begingroup$
    What a stupid bug. Thanks a lot for your answer
    $endgroup$
    – Kranze
    Jan 21 at 15:49











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1












$begingroup$

Your calculation is correct, the probability is $frac{11}{36}$. Your code (given in comments) is not giving the right answer because it outputs #successes / #failures instead of #successes / #attempts. Just change the last line to print(t/1000000).






share|cite|improve this answer









$endgroup$













  • $begingroup$
    What a stupid bug. Thanks a lot for your answer
    $endgroup$
    – Kranze
    Jan 21 at 15:49
















1












$begingroup$

Your calculation is correct, the probability is $frac{11}{36}$. Your code (given in comments) is not giving the right answer because it outputs #successes / #failures instead of #successes / #attempts. Just change the last line to print(t/1000000).






share|cite|improve this answer









$endgroup$













  • $begingroup$
    What a stupid bug. Thanks a lot for your answer
    $endgroup$
    – Kranze
    Jan 21 at 15:49














1












1








1





$begingroup$

Your calculation is correct, the probability is $frac{11}{36}$. Your code (given in comments) is not giving the right answer because it outputs #successes / #failures instead of #successes / #attempts. Just change the last line to print(t/1000000).






share|cite|improve this answer









$endgroup$



Your calculation is correct, the probability is $frac{11}{36}$. Your code (given in comments) is not giving the right answer because it outputs #successes / #failures instead of #successes / #attempts. Just change the last line to print(t/1000000).







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 21 at 15:41









Especially LimeEspecially Lime

22.3k22858




22.3k22858












  • $begingroup$
    What a stupid bug. Thanks a lot for your answer
    $endgroup$
    – Kranze
    Jan 21 at 15:49


















  • $begingroup$
    What a stupid bug. Thanks a lot for your answer
    $endgroup$
    – Kranze
    Jan 21 at 15:49
















$begingroup$
What a stupid bug. Thanks a lot for your answer
$endgroup$
– Kranze
Jan 21 at 15:49




$begingroup$
What a stupid bug. Thanks a lot for your answer
$endgroup$
– Kranze
Jan 21 at 15:49


















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