Ensuring the quality of analytical data is a vital aspect of the work of an analytical scientist.
The effective planning of experiments and evaluation of data requires an understanding
of statistics. Knowledge of statistics is also needed to carry out method validation and
evaluate measurement uncertainty.
This one-day course focuses on the practical application of statistical techniques such as
significance testing and linear regression, and is suitable for those with limited or no prior
experience of statistics. The course includes laptop-based workshops using Excel.
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