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Unfair coin question



The 2019 Stack Overflow Developer Survey Results Are InUnfair coin flippingGiven $5$ heads in $17$ coin flips of a biased coin, what is the probability at least $3$ of those heads occured in the first $10$ flips?If I flip a nonbiased coin 13 times what is the probability that I get tails 10 times?A coin is flipped 6 times. What is the probability that heads and tails occur an equal number of times?Probability of Unfair coin with p between (0, 1) and find # of heads s.t. it is even or |3.probability that we stop flipping after exactly ten flips in a biased coin flipping?What is the probability of heads in unfair coin when you flip the coin ten times?binomial distribution unfair coinFlip an unfair coin. Find: (a) p, exactly 7 heads (b) p, exactly 7 tails (c) p, atleast 7 headsCoin flipping and Bayes' theorem… but where does binomial theorem come in?










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Supposed that you flip an unfair coin with the probability of heads being $p(rm heads) = 3/4$ and the probability of tails being $1/4$ a total of ten times. How do you find the possibility of getting exactly $x$ heads and at least $x$ heads?










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    -1












    $begingroup$


    Supposed that you flip an unfair coin with the probability of heads being $p(rm heads) = 3/4$ and the probability of tails being $1/4$ a total of ten times. How do you find the possibility of getting exactly $x$ heads and at least $x$ heads?










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      -1












      -1








      -1





      $begingroup$


      Supposed that you flip an unfair coin with the probability of heads being $p(rm heads) = 3/4$ and the probability of tails being $1/4$ a total of ten times. How do you find the possibility of getting exactly $x$ heads and at least $x$ heads?










      share|cite|improve this question









      New contributor




      Mark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      $endgroup$




      Supposed that you flip an unfair coin with the probability of heads being $p(rm heads) = 3/4$ and the probability of tails being $1/4$ a total of ten times. How do you find the possibility of getting exactly $x$ heads and at least $x$ heads?







      discrete-mathematics probability-distributions binomial-distribution






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      edited Apr 6 at 20:27









      David G. Stork

      12.2k41836




      12.2k41836






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      asked Apr 6 at 19:50









      MarkMark

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          3 Answers
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          0












          $begingroup$

          In general, if the probability of heads on a given toss is $p$, and you toss $n$ times, the probability of getting exactly $x$ heads is
          $$bbox[10px,#ffd]P(textexactly xtext heads)=binomnxp^x (1-p)^n-x,quad x=0,1,ldots,n.$$



          To get the probability of getting at least $x$ heads, you sum up the probability of getting exactly $x$ heads, $x+1$ heads, ..., $n$ heads. So



          $$bbox[10px,#ffd]P(textat least xtext heads)
          =sum_k=x^nbinomnkp^k(1-p)^n-k.$$



          If you want probabilities for tails instead of heads, replace every $p$ above with $1-p$. Note that $n=10$ and $p=3/4$ in your particular example.



          By the way, the number of heads you get is said to follow a binomial distribution. See the Wikipedia page for more information.






          share|cite|improve this answer











          $endgroup$




















            0












            $begingroup$

            Hint: use the binomial distribution. See, in particular, the examples on the Wikipedia page.






            share|cite|improve this answer









            $endgroup$




















              0












              $begingroup$

              The probability of getting exactly $x$ tails is $binom 10 x left (frac 3 4 right )^x left ( frac 1 4 right )^10-x.$



              The probability of getting at least $x$ many heads is $sumlimits_k=x^10 binom 10 k left (frac 3 4 right )^k left ( frac 1 4 right )^10-k.$






              share|cite|improve this answer









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                3 Answers
                3






                active

                oldest

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                3 Answers
                3






                active

                oldest

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                active

                oldest

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                active

                oldest

                votes









                0












                $begingroup$

                In general, if the probability of heads on a given toss is $p$, and you toss $n$ times, the probability of getting exactly $x$ heads is
                $$bbox[10px,#ffd]P(textexactly xtext heads)=binomnxp^x (1-p)^n-x,quad x=0,1,ldots,n.$$



                To get the probability of getting at least $x$ heads, you sum up the probability of getting exactly $x$ heads, $x+1$ heads, ..., $n$ heads. So



                $$bbox[10px,#ffd]P(textat least xtext heads)
                =sum_k=x^nbinomnkp^k(1-p)^n-k.$$



                If you want probabilities for tails instead of heads, replace every $p$ above with $1-p$. Note that $n=10$ and $p=3/4$ in your particular example.



                By the way, the number of heads you get is said to follow a binomial distribution. See the Wikipedia page for more information.






                share|cite|improve this answer











                $endgroup$

















                  0












                  $begingroup$

                  In general, if the probability of heads on a given toss is $p$, and you toss $n$ times, the probability of getting exactly $x$ heads is
                  $$bbox[10px,#ffd]P(textexactly xtext heads)=binomnxp^x (1-p)^n-x,quad x=0,1,ldots,n.$$



                  To get the probability of getting at least $x$ heads, you sum up the probability of getting exactly $x$ heads, $x+1$ heads, ..., $n$ heads. So



                  $$bbox[10px,#ffd]P(textat least xtext heads)
                  =sum_k=x^nbinomnkp^k(1-p)^n-k.$$



                  If you want probabilities for tails instead of heads, replace every $p$ above with $1-p$. Note that $n=10$ and $p=3/4$ in your particular example.



                  By the way, the number of heads you get is said to follow a binomial distribution. See the Wikipedia page for more information.






                  share|cite|improve this answer











                  $endgroup$















                    0












                    0








                    0





                    $begingroup$

                    In general, if the probability of heads on a given toss is $p$, and you toss $n$ times, the probability of getting exactly $x$ heads is
                    $$bbox[10px,#ffd]P(textexactly xtext heads)=binomnxp^x (1-p)^n-x,quad x=0,1,ldots,n.$$



                    To get the probability of getting at least $x$ heads, you sum up the probability of getting exactly $x$ heads, $x+1$ heads, ..., $n$ heads. So



                    $$bbox[10px,#ffd]P(textat least xtext heads)
                    =sum_k=x^nbinomnkp^k(1-p)^n-k.$$



                    If you want probabilities for tails instead of heads, replace every $p$ above with $1-p$. Note that $n=10$ and $p=3/4$ in your particular example.



                    By the way, the number of heads you get is said to follow a binomial distribution. See the Wikipedia page for more information.






                    share|cite|improve this answer











                    $endgroup$



                    In general, if the probability of heads on a given toss is $p$, and you toss $n$ times, the probability of getting exactly $x$ heads is
                    $$bbox[10px,#ffd]P(textexactly xtext heads)=binomnxp^x (1-p)^n-x,quad x=0,1,ldots,n.$$



                    To get the probability of getting at least $x$ heads, you sum up the probability of getting exactly $x$ heads, $x+1$ heads, ..., $n$ heads. So



                    $$bbox[10px,#ffd]P(textat least xtext heads)
                    =sum_k=x^nbinomnkp^k(1-p)^n-k.$$



                    If you want probabilities for tails instead of heads, replace every $p$ above with $1-p$. Note that $n=10$ and $p=3/4$ in your particular example.



                    By the way, the number of heads you get is said to follow a binomial distribution. See the Wikipedia page for more information.







                    share|cite|improve this answer














                    share|cite|improve this answer



                    share|cite|improve this answer








                    edited Apr 6 at 20:01

























                    answered Apr 6 at 19:55









                    Minus One-TwelfthMinus One-Twelfth

                    3,388413




                    3,388413





















                        0












                        $begingroup$

                        Hint: use the binomial distribution. See, in particular, the examples on the Wikipedia page.






                        share|cite|improve this answer









                        $endgroup$

















                          0












                          $begingroup$

                          Hint: use the binomial distribution. See, in particular, the examples on the Wikipedia page.






                          share|cite|improve this answer









                          $endgroup$















                            0












                            0








                            0





                            $begingroup$

                            Hint: use the binomial distribution. See, in particular, the examples on the Wikipedia page.






                            share|cite|improve this answer









                            $endgroup$



                            Hint: use the binomial distribution. See, in particular, the examples on the Wikipedia page.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered Apr 6 at 19:52









                            parsiadparsiad

                            18.8k32554




                            18.8k32554





















                                0












                                $begingroup$

                                The probability of getting exactly $x$ tails is $binom 10 x left (frac 3 4 right )^x left ( frac 1 4 right )^10-x.$



                                The probability of getting at least $x$ many heads is $sumlimits_k=x^10 binom 10 k left (frac 3 4 right )^k left ( frac 1 4 right )^10-k.$






                                share|cite|improve this answer









                                $endgroup$

















                                  0












                                  $begingroup$

                                  The probability of getting exactly $x$ tails is $binom 10 x left (frac 3 4 right )^x left ( frac 1 4 right )^10-x.$



                                  The probability of getting at least $x$ many heads is $sumlimits_k=x^10 binom 10 k left (frac 3 4 right )^k left ( frac 1 4 right )^10-k.$






                                  share|cite|improve this answer









                                  $endgroup$















                                    0












                                    0








                                    0





                                    $begingroup$

                                    The probability of getting exactly $x$ tails is $binom 10 x left (frac 3 4 right )^x left ( frac 1 4 right )^10-x.$



                                    The probability of getting at least $x$ many heads is $sumlimits_k=x^10 binom 10 k left (frac 3 4 right )^k left ( frac 1 4 right )^10-k.$






                                    share|cite|improve this answer









                                    $endgroup$



                                    The probability of getting exactly $x$ tails is $binom 10 x left (frac 3 4 right )^x left ( frac 1 4 right )^10-x.$



                                    The probability of getting at least $x$ many heads is $sumlimits_k=x^10 binom 10 k left (frac 3 4 right )^k left ( frac 1 4 right )^10-k.$







                                    share|cite|improve this answer












                                    share|cite|improve this answer



                                    share|cite|improve this answer










                                    answered Apr 6 at 19:54









                                    Dbchatto67Dbchatto67

                                    2,753622




                                    2,753622




















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