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(1)

Precision:

Precision is defined as the extent to which results agree with one

another. In other words, it is a measure of consistency, and is

usually evaluated in terms of the

range or spread of results.

(2)

Practically, this means that precision is inherently

related to the 

standard deviation of the

repeated measurements.

(3)

When referring to the consistency between individual values

amongst a set of replicate measurements performed by the same person, at the same time on the same sample, using the same method, this is termed the measurement repeatability.

(4)

When referring to the consistency of a method as used by different analysts, laboratories, and/or over an extended time period, this is termed the reproducibility.

(5)

Note that accuracy and precision are separate things: it is entirely possible to have results that are accurate but not precise, as well as results that are precise but not accurate.

(6)

One way to demonstrate the importance of

statistics in analytical chemistry is to look at some of the common questions asked about

measurement results, and the statistical techniques we can use to answer them.

(7)

When I repeat a measurement, I get different numbers; which do I use?

Calculate the mean and standard

deviation of the values; this is the

starting point for any statistical

evaluation of your data.

(8)

Remember that the inherent variation associated with any real measurement

means you would expect to get somewhat different values for replicate

measurements.

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