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Analytical chemists must use a range of statistical tools in their
treatment of experimental data to obtain reliable results.
Practical Statistics for the Analytical Scientist is a manual
designed to help them negotiate the daunting specialist terminology
and symbols. Prepared in conjunction with the Department of Trade
and Industry's Valid Analytical Measurement (VAM) programme, this
volume covers the basic statistics needed in the laboratory. It
describes the statistical procedures that are most likely to be
required including summary and descriptive statistics, calibration,
outlier testing, analysis of variance and basic quality control
procedures. To improve understanding, many examples provide the
user with material for consolidation and practice. The fully worked
answers are given both to check the correct application of the
procedures and to provide a template for future problems. Practical
Statistics for the Analytical Scientist will be welcomed by
practising analytical chemists as an important reference for day to
day statistics in analytical chemistry.
In spite of the wide variety and complexity of biological
materials, nucleic acids are ubiquitous. DNA is becoming the
bioanalyte of choice due to the vast amount of information embedded
in its sequence, its robust chemical nature and the range of highly
sensitive analytical techniques that have been developed. The
results of such analyses can have an important impact on our
society both commercially and in terms of the quality of life.
Absolute confidence in the data generated is therefore of the
utmost importance. This book, produced by LGC as part of the VAM
(Valid Analytical Measurement) Programme, introduces the issues of
validation and quality to the bioanalytical community, specifically
addressing DNA-based analyses. It aims to raise awareness of the
factors that can influence the validity of DNA analysis and the
production of quality data. Emphasis is placed on VAM principles,
as well as additional challenges that are associated with the
analysis of real samples, for example, complex food matrices or
forensic samples that have been subjected to environmental insult.
Information is collated from a variety of sources including
literature, discussions and LGC research, and offers constructive
advice where possible.
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Discovery Miles 4 870
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