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    sorry if i'm repeating myself a bit here but i'll try again anyway.
    what i'm trying to say is that the poission distribution models a count of the number of events occurring within a given interval.

    what you want to do, as far as i can judge, is to model the length of interval between events - this is, as i remember not what the poission distribution is used for - the exponential distribution models this.
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    what i'm trying to say is that the poission distribution models a count of the number of events occurring within a given interval.
    ok. the 'e', which is the event, occurs on avarage per interval 0.1794872 times - the way that's now stated fits with what you've said there.

    Code:
    m = 0.179487  (average number of random occurrences per interval)
    Probability of occurrences in intervals :
    ------------------------------------------------------------------
     0: 0.835699   83.57%    < probability of no occurance
     1: 0.149997   15.00%
     2: 0.013461   1.35%
     3: 0.000805   0.08%
     4: 0.000036   0.00%
     5: 0.000001   0.00%
     6: 0.000000   0.00%
     7: 0.000000   0.00%
     8: 0.000000   0.00%
     9: 0.000000   0.00%
    10: 0.000000   0.00%
    but that isn't much use really :/ not that i can see anyway. oh well.

    well, if it doesn't fit or work, it doesn't work. fair enough. although i'm still not *completely* convinced a poisson formula can't be used for this in some way, but i see your point definetely.

    what you want to do, as far as i can judge, is to model the length of interval between events - this is, as i remember not what the poission distribution is used for - the exponential distribution models this.
    yeah, or the number of intervals more precisely.

    ok, i will look into exponential distribution models.

    thanks very much for the info and reply
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    no probs on my part... let us know how ya get on...
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