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| | Geol 333 - Error Propagation Lab Exercise |
 | | The error propagation shown here is simpler and more direct, and only requires an estimate of error for each variable in an equation, instead of a measurement population. |
 | | If each addend can be assumed to have random Gaussian error, and the error is expressed as its standard deviation S, then we are really combining the populations to create a population of sums, which will have its own standard deviation. |
 | | Formally, errors should be estimated by passing the whole population of measurements through the entire computation, and then observing the statistics of the final result (histogram, mean, standard deviation, median). |
| www.seismo.unr.edu /ftp/pub/louie/class/333/error.html (1482 words) |
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