Statistical Data Treatment

and Evaluation

Experimentalist use statistical calculations to sharpen

their judgments concerning the quality of experimental

measurements. These applications include:

•Defining a numerical interval around the mean of a set

of replicate analytical results within which the

population mean can be expected to lie with a certain

probability. This interval is called the confidence

interval (CI).

•Determining the number of replicate

measurements required to ensure at a given

probability that an experimental mean falls

within a certain confidence interval.

•Estimating the probability that (a) an

experimental mean and a true value or (b) two

experimental means are different.

•Deciding whether what appears to be an outlier

in a set of replicate measurements is the result of

a gross error or it is a legitimate result.

•Using the least-squares method for constructing

calibration curves.

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26/09/2013