The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist inindustry or at study faces the task of using and understandingstatistical methods. Statistics is often viewed as a difficultsubject and is often avoided because of its complexity and a lackof specific application to the requirements of food science. Thissituation is changing – there is now much material onmultivariate applications for the more advanced reader, but a caseexists for a univariate approach aimed at thenon-statistician. This second edition of Statistical Methods for Food Scienceprovides a source text on accessible statistical procedures for thefood scientist, and is aimed at professionals and students in foodlaboratories where analytical, instrumental and sensory data aregathered and require some form of summary and analysis beforeinterpretation. It is suitable for the food analyst, the sensoryscientist and the product developer, and others who work infood-related disciplines involving consumer survey investigationswill also find many sections of use. There is an emphasis on a‘hands-on’ approach, and worked examples using computersoftware packages and the minimum of mathematical formulae areincluded. The book is based on the experience and practice of ascientist engaged for many years in research and teaching ofanalytical and sensory food science at undergraduate andpost-graduate level. This revised and updated second edition is accompanied by a newcompanion website giving the reader access to the datasets andExcel spreadsheets featured in the book. Check it out now byvisiting ahref="http://www.wiley.com/go/bower/statistical"www.wiley.com/go/bower/statistical/a orby scanning the QR code below.
Many statistical innovations are linked to applications in food science.
Theoretical explanations, practical examples and case studies ensure that this is an easy-to-follow and comprehensive text, not just a theoretical guide for non-statisticians.
The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data.
The practical approached championed in this book have led to increasing the quality on many successful products through providing a better understanding of consumer needs, current product and process performance and a desired future state.
Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products.
From Table G.7, chi-square, twotailed, for p = 0.001, df = 1, is 10.83. Our value is greater than the value ... It could be that values along the vertical margin, (A + B) and (C + D), are fixed by the experimenter or left free to vary.
The text then ponders on experimental design and incomplete block experimental designs. The book touches on factorial experiments and response surface designs and analysis.
This classic book will meet the needs of food and agricultural industries in both their research and business needs.
This is important in ensuring that laboratory results reflect, as precisely as possible, the microbiological status of manufactured products through the concept and practice of laboratory accreditation and proficiency testing.
This book provides core information in a format that provides not only the concept behind the method, but real-world applications giving the reader valuable, practical knowledge. * Identify proper analysis method, apply to available data, ...