consider tossing a biased coin whose probability is of coming up heads is 0.3. if 40 trials are performed, what values of k would have probabilities closest to half the probability of the expected value of k
consider tossing a biased coin whose probability is of coming up heads is 0.3. if 40 trials are performed, what values of k would have probabilities closest to half the probability of the expected value of k
By the expected value of k, I am going to assume that you mean the expected probability IF the the coin was not biased.
2×(40k)(0.3)k(0.7)(40−k)=(40k)(0.5)k(0.5)(40−k)2×(0.3)k(0.7)(40−k)=(0.5)402×(310)k(710)(40−k)=(12)402×3k×7(40−k)10k×10(40−k)=12403k×7401040×7k=12413k7k=1040241×740(37)k=1040241×740log[(37)k]=log[1040241×740]k×log[(37)]=log[1040241×740]k=log[1040241×740]log(37)
(log10(1040(241×740))log10(37))=16.7025520859230921
The closest one is k=17
consider tossing a biased coin whose probability is of coming up heads is 0.3. if 40 trials are performed, what values of k would have probabilities closest to half the probability of the expected value of k
By the expected value of k, I am going to assume that you mean the expected probability IF the the coin was not biased.
2×(40k)(0.3)k(0.7)(40−k)=(40k)(0.5)k(0.5)(40−k)2×(0.3)k(0.7)(40−k)=(0.5)402×(310)k(710)(40−k)=(12)402×3k×7(40−k)10k×10(40−k)=12403k×7401040×7k=12413k7k=1040241×740(37)k=1040241×740log[(37)k]=log[1040241×740]k×log[(37)]=log[1040241×740]k=log[1040241×740]log(37)
(log10(1040(241×740))log10(37))=16.7025520859230921
The closest one is k=17
Hey, Melody....a brief question......what was the motivation for multiplying by "2" on the left hand side in the top equation ???
Go slow with that explanation......you know me and "counting" problems....LOL!!!!