two types of coins, decide which type it is based on 100 flips Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)how do I interpret the following hypothesis test?Determine if many coins are fairYou observe k heads out of n tosses. Is the coin fair?Binary variance? Comparing two sacks of uneven coins or two heterogenous groups of peopleCheck whether a coin is fairHow to test if the proportion of subjects being significant - is significantly different than expected by chance?How can I compute the probability of type 1 error and power?Hypothesis testing: rejection region depends on significance level or vice versa?Bias caused by optional stoppingTest for average of independent, non-Identical binomial distributions

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two types of coins, decide which type it is based on 100 flips



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)how do I interpret the following hypothesis test?Determine if many coins are fairYou observe k heads out of n tosses. Is the coin fair?Binary variance? Comparing two sacks of uneven coins or two heterogenous groups of peopleCheck whether a coin is fairHow to test if the proportion of subjects being significant - is significantly different than expected by chance?How can I compute the probability of type 1 error and power?Hypothesis testing: rejection region depends on significance level or vice versa?Bias caused by optional stoppingTest for average of independent, non-Identical binomial distributions



.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








2












$begingroup$


I have two types of coins, one is fair(0.5 chance to fall on H), and the other is biased(0.7 chance for H). I have a coin, and I need to determine, based on a 100 flips - which type is my coin.
the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100.
what are the chances that I got to the wrong conclusion and the coin is fair?
what are the chances I got to the wrong conclusion and the coin is unfair?



I tried to calculate the chances but I got some prety ugly numbers...










share|cite|improve this question







New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    Can you lay out your calculations?
    $endgroup$
    – bi_scholar
    Apr 11 at 10:22










  • $begingroup$
    I am trying but still can't get how to write math equations here...sorry. in words: sum K from 0 to 62 of: 100 choose k * 0.5^k * 0.5^100-k.(for the first part)
    $endgroup$
    – Benaya Trabelsi
    Apr 11 at 10:36











  • $begingroup$
    "the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100. " This is a strange and unclear hypothesis. What do you mean with this sentence? Maybe you meant something like "the decision rule is to accept the hypothesis that the coin is fair when it fell on heads no more than 62 times out of 100"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:40











  • $begingroup$
    "what are the chances that I got to the wrong conclusion and the coin is fair?" You can not compute this with the given information. Did you maybe mean "what are the chances that I got to the wrong conclusion if the coin is fair?"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:44










  • $begingroup$
    yes martin, sorry about my wording.
    $endgroup$
    – Benaya Trabelsi
    yesterday

















2












$begingroup$


I have two types of coins, one is fair(0.5 chance to fall on H), and the other is biased(0.7 chance for H). I have a coin, and I need to determine, based on a 100 flips - which type is my coin.
the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100.
what are the chances that I got to the wrong conclusion and the coin is fair?
what are the chances I got to the wrong conclusion and the coin is unfair?



I tried to calculate the chances but I got some prety ugly numbers...










share|cite|improve this question







New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    Can you lay out your calculations?
    $endgroup$
    – bi_scholar
    Apr 11 at 10:22










  • $begingroup$
    I am trying but still can't get how to write math equations here...sorry. in words: sum K from 0 to 62 of: 100 choose k * 0.5^k * 0.5^100-k.(for the first part)
    $endgroup$
    – Benaya Trabelsi
    Apr 11 at 10:36











  • $begingroup$
    "the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100. " This is a strange and unclear hypothesis. What do you mean with this sentence? Maybe you meant something like "the decision rule is to accept the hypothesis that the coin is fair when it fell on heads no more than 62 times out of 100"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:40











  • $begingroup$
    "what are the chances that I got to the wrong conclusion and the coin is fair?" You can not compute this with the given information. Did you maybe mean "what are the chances that I got to the wrong conclusion if the coin is fair?"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:44










  • $begingroup$
    yes martin, sorry about my wording.
    $endgroup$
    – Benaya Trabelsi
    yesterday













2












2








2





$begingroup$


I have two types of coins, one is fair(0.5 chance to fall on H), and the other is biased(0.7 chance for H). I have a coin, and I need to determine, based on a 100 flips - which type is my coin.
the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100.
what are the chances that I got to the wrong conclusion and the coin is fair?
what are the chances I got to the wrong conclusion and the coin is unfair?



I tried to calculate the chances but I got some prety ugly numbers...










share|cite|improve this question







New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I have two types of coins, one is fair(0.5 chance to fall on H), and the other is biased(0.7 chance for H). I have a coin, and I need to determine, based on a 100 flips - which type is my coin.
the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100.
what are the chances that I got to the wrong conclusion and the coin is fair?
what are the chances I got to the wrong conclusion and the coin is unfair?



I tried to calculate the chances but I got some prety ugly numbers...







hypothesis-testing






share|cite|improve this question







New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|cite|improve this question







New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|cite|improve this question




share|cite|improve this question






New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked Apr 11 at 10:16









Benaya TrabelsiBenaya Trabelsi

111




111




New contributor




Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Benaya Trabelsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











  • $begingroup$
    Can you lay out your calculations?
    $endgroup$
    – bi_scholar
    Apr 11 at 10:22










  • $begingroup$
    I am trying but still can't get how to write math equations here...sorry. in words: sum K from 0 to 62 of: 100 choose k * 0.5^k * 0.5^100-k.(for the first part)
    $endgroup$
    – Benaya Trabelsi
    Apr 11 at 10:36











  • $begingroup$
    "the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100. " This is a strange and unclear hypothesis. What do you mean with this sentence? Maybe you meant something like "the decision rule is to accept the hypothesis that the coin is fair when it fell on heads no more than 62 times out of 100"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:40











  • $begingroup$
    "what are the chances that I got to the wrong conclusion and the coin is fair?" You can not compute this with the given information. Did you maybe mean "what are the chances that I got to the wrong conclusion if the coin is fair?"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:44










  • $begingroup$
    yes martin, sorry about my wording.
    $endgroup$
    – Benaya Trabelsi
    yesterday
















  • $begingroup$
    Can you lay out your calculations?
    $endgroup$
    – bi_scholar
    Apr 11 at 10:22










  • $begingroup$
    I am trying but still can't get how to write math equations here...sorry. in words: sum K from 0 to 62 of: 100 choose k * 0.5^k * 0.5^100-k.(for the first part)
    $endgroup$
    – Benaya Trabelsi
    Apr 11 at 10:36











  • $begingroup$
    "the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100. " This is a strange and unclear hypothesis. What do you mean with this sentence? Maybe you meant something like "the decision rule is to accept the hypothesis that the coin is fair when it fell on heads no more than 62 times out of 100"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:40











  • $begingroup$
    "what are the chances that I got to the wrong conclusion and the coin is fair?" You can not compute this with the given information. Did you maybe mean "what are the chances that I got to the wrong conclusion if the coin is fair?"
    $endgroup$
    – Martijn Weterings
    Apr 11 at 12:44










  • $begingroup$
    yes martin, sorry about my wording.
    $endgroup$
    – Benaya Trabelsi
    yesterday















$begingroup$
Can you lay out your calculations?
$endgroup$
– bi_scholar
Apr 11 at 10:22




$begingroup$
Can you lay out your calculations?
$endgroup$
– bi_scholar
Apr 11 at 10:22












$begingroup$
I am trying but still can't get how to write math equations here...sorry. in words: sum K from 0 to 62 of: 100 choose k * 0.5^k * 0.5^100-k.(for the first part)
$endgroup$
– Benaya Trabelsi
Apr 11 at 10:36





$begingroup$
I am trying but still can't get how to write math equations here...sorry. in words: sum K from 0 to 62 of: 100 choose k * 0.5^k * 0.5^100-k.(for the first part)
$endgroup$
– Benaya Trabelsi
Apr 11 at 10:36













$begingroup$
"the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100. " This is a strange and unclear hypothesis. What do you mean with this sentence? Maybe you meant something like "the decision rule is to accept the hypothesis that the coin is fair when it fell on heads no more than 62 times out of 100"
$endgroup$
– Martijn Weterings
Apr 11 at 12:40





$begingroup$
"the hypothesis is that the coin is fair only if it fell on heads no more than 62 times out of 100. " This is a strange and unclear hypothesis. What do you mean with this sentence? Maybe you meant something like "the decision rule is to accept the hypothesis that the coin is fair when it fell on heads no more than 62 times out of 100"
$endgroup$
– Martijn Weterings
Apr 11 at 12:40













$begingroup$
"what are the chances that I got to the wrong conclusion and the coin is fair?" You can not compute this with the given information. Did you maybe mean "what are the chances that I got to the wrong conclusion if the coin is fair?"
$endgroup$
– Martijn Weterings
Apr 11 at 12:44




$begingroup$
"what are the chances that I got to the wrong conclusion and the coin is fair?" You can not compute this with the given information. Did you maybe mean "what are the chances that I got to the wrong conclusion if the coin is fair?"
$endgroup$
– Martijn Weterings
Apr 11 at 12:44












$begingroup$
yes martin, sorry about my wording.
$endgroup$
– Benaya Trabelsi
yesterday




$begingroup$
yes martin, sorry about my wording.
$endgroup$
– Benaya Trabelsi
yesterday










3 Answers
3






active

oldest

votes


















3












$begingroup$

Essentially, the upper tail (K > 62) of the head-distribution of the fair coin (P(head) = 0.5) gives you the probability that a fair coin is falsely labeled as biased while the lower tail (K <= 62) of the head-distribution of the biased coin gives you the probability that a biased coin will be falsely labeled as fair.






share|cite|improve this answer









$endgroup$




















    1












    $begingroup$

    Based on your comment, you're nearly correct for the first one, you just need to subtract the value from $1$ since for having wrong decision if the coin is fair
    you need $>62$ heads (let $W$ be having the wrong decision, $F$ be the fact that coin is fair, and $X$ be the number of heads appeared):
    $$P(W|F)=1-P(Xleq62|F)=1-sum_k=0^62100 choose k0.5^k0.5^100-k$$



    Replicating the analysis for the unfair case:
    $$P(W|F')=1-P(X>62|F')=1-sum_k=63^100100 choose k0.7^k0.3^100-k$$



    Note: Your seem to ask for "having wrong decision and the coin is fair" for the first one (same situation for your second question), which means $P(Wcap F)$, not $P(W|F)$ as found above. So, if you need $P(Wcap F)=P(W|F)P(F)$, you need to use $P(F)$, which you didn't provide.






    share|cite|improve this answer









    $endgroup$




















      1












      $begingroup$

      This is the binomial distribution. Doing a web search for "binomial calculator" should get an online calculator. You can then enter .5 for probability of success on a single trial for the fair coin, 100 for number of trials, and 62 as number of successes. You can also enter .7 as the probability of success on a single trial for the unfair coin.






      share|cite|improve this answer









      $endgroup$













        Your Answer








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        3 Answers
        3






        active

        oldest

        votes








        3 Answers
        3






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        3












        $begingroup$

        Essentially, the upper tail (K > 62) of the head-distribution of the fair coin (P(head) = 0.5) gives you the probability that a fair coin is falsely labeled as biased while the lower tail (K <= 62) of the head-distribution of the biased coin gives you the probability that a biased coin will be falsely labeled as fair.






        share|cite|improve this answer









        $endgroup$

















          3












          $begingroup$

          Essentially, the upper tail (K > 62) of the head-distribution of the fair coin (P(head) = 0.5) gives you the probability that a fair coin is falsely labeled as biased while the lower tail (K <= 62) of the head-distribution of the biased coin gives you the probability that a biased coin will be falsely labeled as fair.






          share|cite|improve this answer









          $endgroup$















            3












            3








            3





            $begingroup$

            Essentially, the upper tail (K > 62) of the head-distribution of the fair coin (P(head) = 0.5) gives you the probability that a fair coin is falsely labeled as biased while the lower tail (K <= 62) of the head-distribution of the biased coin gives you the probability that a biased coin will be falsely labeled as fair.






            share|cite|improve this answer









            $endgroup$



            Essentially, the upper tail (K > 62) of the head-distribution of the fair coin (P(head) = 0.5) gives you the probability that a fair coin is falsely labeled as biased while the lower tail (K <= 62) of the head-distribution of the biased coin gives you the probability that a biased coin will be falsely labeled as fair.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Apr 11 at 11:13









            bi_scholarbi_scholar

            49113




            49113























                1












                $begingroup$

                Based on your comment, you're nearly correct for the first one, you just need to subtract the value from $1$ since for having wrong decision if the coin is fair
                you need $>62$ heads (let $W$ be having the wrong decision, $F$ be the fact that coin is fair, and $X$ be the number of heads appeared):
                $$P(W|F)=1-P(Xleq62|F)=1-sum_k=0^62100 choose k0.5^k0.5^100-k$$



                Replicating the analysis for the unfair case:
                $$P(W|F')=1-P(X>62|F')=1-sum_k=63^100100 choose k0.7^k0.3^100-k$$



                Note: Your seem to ask for "having wrong decision and the coin is fair" for the first one (same situation for your second question), which means $P(Wcap F)$, not $P(W|F)$ as found above. So, if you need $P(Wcap F)=P(W|F)P(F)$, you need to use $P(F)$, which you didn't provide.






                share|cite|improve this answer









                $endgroup$

















                  1












                  $begingroup$

                  Based on your comment, you're nearly correct for the first one, you just need to subtract the value from $1$ since for having wrong decision if the coin is fair
                  you need $>62$ heads (let $W$ be having the wrong decision, $F$ be the fact that coin is fair, and $X$ be the number of heads appeared):
                  $$P(W|F)=1-P(Xleq62|F)=1-sum_k=0^62100 choose k0.5^k0.5^100-k$$



                  Replicating the analysis for the unfair case:
                  $$P(W|F')=1-P(X>62|F')=1-sum_k=63^100100 choose k0.7^k0.3^100-k$$



                  Note: Your seem to ask for "having wrong decision and the coin is fair" for the first one (same situation for your second question), which means $P(Wcap F)$, not $P(W|F)$ as found above. So, if you need $P(Wcap F)=P(W|F)P(F)$, you need to use $P(F)$, which you didn't provide.






                  share|cite|improve this answer









                  $endgroup$















                    1












                    1








                    1





                    $begingroup$

                    Based on your comment, you're nearly correct for the first one, you just need to subtract the value from $1$ since for having wrong decision if the coin is fair
                    you need $>62$ heads (let $W$ be having the wrong decision, $F$ be the fact that coin is fair, and $X$ be the number of heads appeared):
                    $$P(W|F)=1-P(Xleq62|F)=1-sum_k=0^62100 choose k0.5^k0.5^100-k$$



                    Replicating the analysis for the unfair case:
                    $$P(W|F')=1-P(X>62|F')=1-sum_k=63^100100 choose k0.7^k0.3^100-k$$



                    Note: Your seem to ask for "having wrong decision and the coin is fair" for the first one (same situation for your second question), which means $P(Wcap F)$, not $P(W|F)$ as found above. So, if you need $P(Wcap F)=P(W|F)P(F)$, you need to use $P(F)$, which you didn't provide.






                    share|cite|improve this answer









                    $endgroup$



                    Based on your comment, you're nearly correct for the first one, you just need to subtract the value from $1$ since for having wrong decision if the coin is fair
                    you need $>62$ heads (let $W$ be having the wrong decision, $F$ be the fact that coin is fair, and $X$ be the number of heads appeared):
                    $$P(W|F)=1-P(Xleq62|F)=1-sum_k=0^62100 choose k0.5^k0.5^100-k$$



                    Replicating the analysis for the unfair case:
                    $$P(W|F')=1-P(X>62|F')=1-sum_k=63^100100 choose k0.7^k0.3^100-k$$



                    Note: Your seem to ask for "having wrong decision and the coin is fair" for the first one (same situation for your second question), which means $P(Wcap F)$, not $P(W|F)$ as found above. So, if you need $P(Wcap F)=P(W|F)P(F)$, you need to use $P(F)$, which you didn't provide.







                    share|cite|improve this answer












                    share|cite|improve this answer



                    share|cite|improve this answer










                    answered Apr 11 at 11:15









                    gunesgunes

                    7,6011316




                    7,6011316





















                        1












                        $begingroup$

                        This is the binomial distribution. Doing a web search for "binomial calculator" should get an online calculator. You can then enter .5 for probability of success on a single trial for the fair coin, 100 for number of trials, and 62 as number of successes. You can also enter .7 as the probability of success on a single trial for the unfair coin.






                        share|cite|improve this answer









                        $endgroup$

















                          1












                          $begingroup$

                          This is the binomial distribution. Doing a web search for "binomial calculator" should get an online calculator. You can then enter .5 for probability of success on a single trial for the fair coin, 100 for number of trials, and 62 as number of successes. You can also enter .7 as the probability of success on a single trial for the unfair coin.






                          share|cite|improve this answer









                          $endgroup$















                            1












                            1








                            1





                            $begingroup$

                            This is the binomial distribution. Doing a web search for "binomial calculator" should get an online calculator. You can then enter .5 for probability of success on a single trial for the fair coin, 100 for number of trials, and 62 as number of successes. You can also enter .7 as the probability of success on a single trial for the unfair coin.






                            share|cite|improve this answer









                            $endgroup$



                            This is the binomial distribution. Doing a web search for "binomial calculator" should get an online calculator. You can then enter .5 for probability of success on a single trial for the fair coin, 100 for number of trials, and 62 as number of successes. You can also enter .7 as the probability of success on a single trial for the unfair coin.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered Apr 11 at 15:36









                            AcccumulationAcccumulation

                            1,69626




                            1,69626




















                                Benaya Trabelsi is a new contributor. Be nice, and check out our Code of Conduct.









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