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020 _a9781118541609
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020 _a111854160X
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020 _a9781118541593
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020 _a1118541596
_q(electronic bk.)
020 _z9781118541647
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035 _a(OCoLC)849935641
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_z(OCoLC)962646650
050 4 _aTX367
_b.B688 2013eb
072 7 _aTEC
_x012000
_2bisacsh
082 0 4 _a664.0072
_223
049 _aMAIN
100 1 _aBower, John A.
_c(Lecturer in food science)
245 1 0 _aStatistical Methods for Food Science :
_bIntroductory Procedures for the Food Practitioner /
_cJohn A. Bower, former lecturer and Course Leader (BSc Food Studies) Queen Margaret University, Edinburgh, UK.
250 _a2nd ed.
260 _aChichester, West Sussex, UK :
_bWiley Blackwell,
_c2013.
300 _a1 online resource (x, 318 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
588 0 _aPrint version record.
505 0 _aStatistical Methods for Food Science; Contents; Preface; About the companion website; Acknowledgements; Part I Introduction and basics; Chapter 1 Basics and terminology; 1.1 Introduction; 1.2 What the book will cover; 1.3 The importance of statistics; 1.4 Applications of statistical procedures in food science; 1.4.1 The approach to experimentation; 1.5 Focus and terminology; 1.5.1 Audience; 1.5.2 Conventions and terminology; References; Software sources and links; Chapter 2 The nature of data and their collection; 2.1 Introduction; 2.2 The nature of data; 2.2.1 Measurement scales.
505 8 _a2.2.2 Numeric and non-numeric data2.2.3 Levels of measurement; 2.3 Collection of data and sampling; 2.3.1 Sample, sample units and subsamples; 2.3.2 Sample size; 2.3.3 Sample selection methods; 2.3.4 Application examples; 2.4 Populations; 2.4.1 Population distribution; 2.4.2 Identification of population distributional form; References; Chapter 3 Descriptive statistics; 3.1 Introduction; 3.2 Tabular and graphical displays; 3.2.1 Summarising nominal data (discrete); 3.2.2 Summarising ordinal data (discrete); 3.2.3 Summarising metric (interval and ratio) data (continuous or discrete).
505 8 _a3.2.4 Summarising two variables together3.3 Descriptive statistic measures; 3.3.1 Measures of central tendency; 3.3.2 Measures of dispersion or variation; 3.3.3 Summary measures for proportions; 3.3.4 Application of descriptive measures; 3.4 Measurement uncertainty; 3.4.1 Error types; 3.4.2 Aspects of data and results uncertainty; 3.4.3 Determination of measures of uncertainty; 3.5 Determination of population nature and variance homogeneity; 3.5.1 Adherence to normality; 3.5.2 Homogeneity of variance; References; Chapter 4 Analysis of differences -- significance testing; 4.1 Introduction.
505 8 _a4.2 Significance (hypothesis) testing4.2.1 The method of significance testing; 4.2.2 The procedure of significance testing; 4.3 Assumptions of significance tests; 4.4 Stages in a significance test; 4.5 Selection of significance tests; 4.5.1 Nature of the data; 4.5.2 Circumstances of the experiment; 4.6 Parametric or non-parametric tests; References; Chapter 5 Types of significance test; 5.1 Introduction; 5.2 General points; 5.3 Significance tests for nominal data (non-parametric); 5.3.1 Chi-square tests; 5.3.2 The binomial test; 5.4 Significance tests for ordinal data (non-parametric).
505 8 _a5.4.1 Related pairs and groups5.4.2 Ordinal scales; 5.4.3 Independent groups; 5.4.4 Other non-parametric tests; 5.5 Significance tests for interval and ratio data (parametric); 5.5.1 t-tests; 5.5.2 Analysis of variance (ANOVA); References; Chapter 6 Association, correlation and regression; 6.1 Introduction; 6.2 Association; 6.3 Correlation; 6.3.1 Main features of correlation; 6.3.2 Correlation analysis; 6.3.3 Correlation application; 6.4 Regression; 6.4.1 Main features of regression; 6.4.2 Regression analysis; 6.4.3 Regression assumptions; 6.4.4 Regression application; References.
520 _aThe recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist in industry or at study faces the task of using and understanding statistical methods. Statistics is often viewed as a difficult subject and is often avoided because of its complexity and a lack of specific application to the requirements of food science. This situation is changing - there is now much material on multivariate applications for the more advanced reader, but a case exists for a univariate approach aimed at the non-statistician. This book provides a sourc.
650 0 _aFood
_xResearch
_xStatistical methods.
650 0 _aNutrition
_xStatistical methods.
650 7 _aTECHNOLOGY & ENGINEERING
_xFood Science.
_2bisacsh
650 7 _aFood
_xResearch
_xStatistical methods.
_2fast
_0(OCoLC)fst00930600
650 7 _aNutrition
_xStatistical methods.
_2fast
_0(OCoLC)fst01042251
655 4 _aElectronic books.
655 7 _aElectronic books.
_2local
776 0 8 _iPrint version:
_aBower, John A.
_tStatistical methods for food science.
_b2nd ed.
_dChichester, West Sussex, UK : John Wiley & Sons, 2013
_z9781118541647
_w(DLC) 2013001794
_w(OCoLC)836557409
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118541593
_zWiley Online Library
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