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Subject:
Probability
Category: Science > Math Asked by: mojomabris-ga List Price: $2.00 |
Posted:
09 Apr 2006 22:29 PDT
Expires: 09 May 2006 22:29 PDT Question ID: 717306 |
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There is no answer at this time. |
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Subject:
Re: Probability
From: jack_of_few_trades-ga on 10 Apr 2006 11:38 PDT |
I don't think there is enough information provided to give a correct answer. Do you know the standard deviation or variance... # of chapters could even help if there aren't many. |
Subject:
Re: Probability
From: ansel001-ga on 10 Apr 2006 14:12 PDT |
Jack_of_few_trades is correct, you do need more information. What type of distribution is it? The Poisson distribution is often used for counting things. If it is the Poisson distribution, the mean and the variance are the same. |
Subject:
Re: Probability
From: kottekoe-ga on 10 Apr 2006 18:45 PDT |
Since no additional information is given, we have to assume that the errors are randomly distributed. I won't give the solution for this homework problem, but I'll give a hint. This is identical to the case of radioactive decay. Suppose the average number of decays from a lump of uranium is 0.8 in one second, what is the probability of 0 decays in one second? What is the probability of 1 decay? Add them up. |
Subject:
Re: Probability
From: ansel001-ga on 12 Apr 2006 16:12 PDT |
Here is a link to an explanation of the Poisson distribution. http://en.wikipedia.org/wiki/Poisson_distribution It is a discrete distribution. You can calculate the number of occurrences expected for a given mean. Here is the formula for k occurrences for a given mean ?. The formula is f(k|?) = [e^(-?)]*(?^k)/k! The probability of less than two occurrences (errors) is the sum of the probabilities of zero and one errors. f(0|0.8) = 0.449329 f(1|0.8) = 0.359463 Sum = 0.808792 |
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