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TRSTAT30 - Statistics for analytical
chemists
08 February 2011, 1 day
Ensuring the quality of analytical data is a vital aspect of the
work of an analytical chemist. 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 course
is aimed at analysts and covers the statistics most commonly
applied to analytical data. It will allow analysts to answer
questions such as, ‘Which is the best way to summarise my data?’,
‘Is there a real difference between the results produced by
different test methods?’, ‘How should I evaluate the results
obtained from an instrument calibration experiment?’
What are the benefits?
This course will help you:
- Understand some of the most important statistical concepts used
by analytical chemists
- Calculate the most commonly used statistical parameters
- Carry out significance tests to identify differences between
sets of data
- Use linear regression in calibration.
Contents
The course will cover:
- Introduction to statistics
- Significance testing: t- and F-tests
- Control charts
- Analysis of variance (ANOVA)
- Linear regression.
Who should attend?
The course is aimed at analysts who need to evaluate data or
carry out tasks such as method validation and uncertainty
estimation. The course focuses on the practical application of
statistical techniques and is suitable for those with limited or no
prior experience of statistics.
| Start date/time |
8 February
2011 / 9.00 |
| Duration |
1 day |
| Cost |
£465+
VAT |
| Location |
Teddington |
>Book this course/seminar >
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