- #1
JasonJo
- 429
- 2
The first problem deals with criminal convictions:
It takes 9 out of 12 jury members to convict a defendent. 65% of all defendents are guilty. Jury members make their decisions independent of each other. Probability that a juror votes a guilty person, innocent is .2 whereas the probability that a juror votes an innocent person guilty is .1
Find the probability that the jury renders a correct decision.
- Now i see this problem as a problem with two cases:
(1) when the jury votes an innocent person, not guilty
(2) and when the jury votes a guilty person, guilty.
leading to two separate probability, and i believe the two cases are mutually exclusive.
also, i let X be a random variable with binomial distribution where X is the number of jurors who vote an innocent person not guilty.
^ i believe that is case 1
and i let Y be a similar random variable as X, where X is the number of jurors who vote a guilty person guilty.
but my gut feeling makes me believe that this does not work.
any helpful hints from you guys?
and here is the other problem:
a certain typing agency employs 2 typists. one typists averages 3 errors per article and another averages 4.2 errors per article. the probability of using either typist is equal. what is the approximate probability that my article will have no errors?
i know it deals with expected values and the Poisson distribution, but i don't know how to setup the E(g(X))
ie, I let X be a random variable with Poisson distribution where X is the number of errors per article, and i find the values for each typist when X is 0.
do i just take their respective probabilities of them making zero errors, say A and B, and then setting up E(X) = .5A + .5B?
thanks guys, I've just been really unsure about myself lately and i lost a lot of my confidence
It takes 9 out of 12 jury members to convict a defendent. 65% of all defendents are guilty. Jury members make their decisions independent of each other. Probability that a juror votes a guilty person, innocent is .2 whereas the probability that a juror votes an innocent person guilty is .1
Find the probability that the jury renders a correct decision.
- Now i see this problem as a problem with two cases:
(1) when the jury votes an innocent person, not guilty
(2) and when the jury votes a guilty person, guilty.
leading to two separate probability, and i believe the two cases are mutually exclusive.
also, i let X be a random variable with binomial distribution where X is the number of jurors who vote an innocent person not guilty.
^ i believe that is case 1
and i let Y be a similar random variable as X, where X is the number of jurors who vote a guilty person guilty.
but my gut feeling makes me believe that this does not work.
any helpful hints from you guys?
and here is the other problem:
a certain typing agency employs 2 typists. one typists averages 3 errors per article and another averages 4.2 errors per article. the probability of using either typist is equal. what is the approximate probability that my article will have no errors?
i know it deals with expected values and the Poisson distribution, but i don't know how to setup the E(g(X))
ie, I let X be a random variable with Poisson distribution where X is the number of errors per article, and i find the values for each typist when X is 0.
do i just take their respective probabilities of them making zero errors, say A and B, and then setting up E(X) = .5A + .5B?
thanks guys, I've just been really unsure about myself lately and i lost a lot of my confidence