Graham Currell – författare

Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most experienced researcher - and can be a particularly daunting prospect when analyzing your own data for the first time. Drawing on the author's extensive experience of supporting project students, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way. With video content generated by the author to dovetail with the printed text, the resource not only describes the principles of data analysis and the strategies that should be adopted for a successful outcome but also shows you how to carry out that analysis - with the videos breaking down the process of analysis into easy-to-digest chunks.With guidance on the use of Minitab, SPSS and Excel, Scientific Data Analysis doesn't just support the use of one particular software package: it is the ideal guide to carrying out your own data analysis regardless of the software you have chosen.Online Resource Centre:The

There is an increasing need for analysts to understand and be able to quantify the performance of analytical instruments, in particular with respect to the following: specifying equipment for purchase estimating uncertainties in instrumental measurements quantifying and demonstrating performance quality This text links together an understanding of performance characteristics with an appreciation of the limitations imposed by instrument design, leading to the interplay of the validation and qualification processes within quality assurance systems. A unique framework of topics covers the major instrumental techniques of spectrophotometry, chromatography, capillary electrophoresis, and atomic emission spectroscopy. The use of over 200 questions and answers, together with cross-referencing, helps to develop a thorough understanding of the various concepts that underpin the different techniques. This book will appeal to a broad range of professional chemists, technicians and students, whether with reference to specific analytical techniques, or within a general course of study in instrumental performance.Analytical Techniques in the Sciences This series of books provides coverage of all the major analytical techniques and their application in the most important areas of physical, life and materials sciences. Each text is presented in an open learning/distant learning style, in which the learning objectives are clearly identified. The reader's understanding of the material is constantly evaluated by the use of self-assessment and discussion questions.

This book is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines. The introductory approach eases students into the subject, progressing to cover topics relevant to first and second year study and support data analysis for final year projects. The revision of the material in the book has been matched, on the accompanying website, with the extensive use of video, providing worked answers to over 200 questions in the book plus additional tutorial support. The second edition has also improved the learning approach for key topic areas to make it even more accessible and user-friendly, making it a perfect resource for students of all abilities. The expanding website provides a wide range of support material, providing a study environment within which students can develop their independent learning skills, in addition to providing resources that can be used by tutors for integration into other science-based programmes.

Essential Mathematics and Statistics for Science, Second Edition is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines. The introductory approach eases students into the subject, supported by revision material and on-line self-assessments. The book then progresses to cover topics relevant to both first and second year level study as well as supporting data analysis for final year projects. The practical applications of the theory are developed by numerous worked examples and practice questions. The revision of the material in the book has been matched, on the accompanying website, with the extensive use of video, providing worked answers to all the questions in the book plus additional tutorial support. The second edition has also improved the learning approach for key topic areas to make it even more accessible and user-friendly, making it a perfect resource for less confident students, as well as an easily accessible resource for students of all abilities.    Applied approach providing mathematics and statistics from the first to final years of undergraduate science courses. Second edition substantially revised to improve the learning approach to key topics and the organisation of resources for ease of use in teaching. Extensive use of video for all worked answers now provides a very successful style of learning support for students via the website. Website also incorporates Excel and Minitab tutorials in addition to self-assessment tests and other resources: www.wiley.com/go/currellmaths2