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building a statistical model |
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| Jan15-04, 09:11 PM | #1 |
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building a statistical model
I have near to no knowledge of statistics, and I want to build a statistical model that can help me calculate %chance of an event happening in situations of type:
every try has 25% success rate after 6 tries, what are the probabilities of having succeeded at least 5times? After 12tries? or each shot has 42% success rate after 5 tries, how what are the probabilities of succeding at least 4times? How can I calculate probabilities like these? |
| Jan15-04, 09:24 PM | #2 |
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Sounds like you want a binomial model. Given probability of success p and n attempts, the probability of exactly k successes is:
[tex]\binom{n}{k}p^k(1-p)^{n-k}[/tex] Of course, to figure out the probability of at least k successes, you have to add up these probabilities for every value greater than or equal to k. |
| Jan15-04, 09:29 PM | #3 |
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what does the n above k in brackets mean?
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| Jan16-04, 05:34 AM | #4 |
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building a statistical model
[tex]\binom{n}{k}[/tex] is the "binomial coefficient". It is the coefficient of xkyn-k in (x+y)n as well as the kth term in the nth line in Pascal's triangle and can be calculated as [tex]\frac{n!}{k!(n-k)!}[/tex].
It is sometimes written nCk and our British colleagues seem to refer to it as "n choose k" since it is also the number of different ways one can choose k items from a set of n items. |
| Jan16-04, 05:52 AM | #5 |
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And just in case you do not know what [itex]x![/itex] means: it means [itex]x[/itex] factorial:
[tex]x! = 1\times 2\times 3 \times \ldots \times (x-1) \times x[/tex] |
| Jan16-04, 08:50 AM | #6 |
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Ok, thx for explanation!
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