Statistical Data Treatment
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
•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