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Re: Attention all Statistics Fanatics
Matt,
An MDA is quite possible with the set up you describe, assuming that background
does not vary appreciably over the area you wish to survey. Take x number of
readings of background. You now have a mean and standard deviation of the
current representing background. The usual Currie technique for a Gaussian,
rather than a Poisson, difference from back ground can be made to obtain a
critical level, MDA, and quantitation level. When taking measurements, make
sure that x readings are taken to ensure the same statistics as the background
reading.
Joe
"Thomas Gray & Associates, Inc." wrote:
> Hello All-
>
> I have found myself in a statistical conundrum from which I cannot see the
> light day! Heres the problem.
>
> I have a Bicron uRem meter attached to an ADC that is capable of sampling
> the current at just about any rate one desires (ie..500 to infinity for
> practical purposes). I am trying to establish an a priori detection limit.
> Because the ouput is dose rate and not counts, the standard Curry formula
> based on the Poison Distribution for MDA cannot be directly applied. My
> thought was to assume that the each sampling of the current is a random
> event and the sample size is such that a Gaussian Distribution is
> approximated and therefore a T-test could be performed comparing two
> theoretical means. According to Curry, the resultant of such an analysis
> only establishes a critical level and not a detection limit. Here is an
> example I test.
>
> sample size 1=500
> u 1= 5
> std 1= 1
> Sample size 2 = 500
> u 2= 6
> std 1= 1
>
> Here is the result:
>
> T- value = 15
> Probability = 99.99%
>
> My direct question is can a confidence level be estalished with the above
> information so I could then say that the two populations of data are
> different at a such and such confidence level. Or if I am on the wrong
> track with my line of thought can someone lead me down the path to
> statistical bliss?
>
> Thanks ahead of time to any who reply.
>
> Matt Harmon
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