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.