000			06285cam a2200709Ia 4500
001			ocn849935641
003			OCoLC
005			20171106094133.0
006			m o d
007			cr cnu---unuuu
008			130624s2013 enk ob 001 0 eng d
010			_z 2013001794
020			_a9781118541609 _q(electronic bk.)
020			_a111854160X _q(electronic bk.)
020			_a9781118541593 _q(electronic bk.)
020			_a1118541596 _q(electronic bk.)
020			_z9781118541647
020			_z1118541642
020			_z9781118541616
020			_z1118541618
020			_z9781118541623
020			_z1118541626
029	1		_aAU@ _b000052006761
029	1		_aCHBIS _b010027022
029	1		_aCHVBK _b306236885
029	1		_aDEBSZ _b431444811
029	1		_aDKDLA _b820120-katalog:000664628
029	1		_aNLGGC _b362991820
029	1		_aNZ1 _b15341650
035			_a(OCoLC)849935641 _z(OCoLC)852757481 _z(OCoLC)960207453 _z(OCoLC)961565084 _z(OCoLC)962646650
040			_aN$T _beng _epn _cN$T _dOCLCA _dCUS _dCUI _dDG1 _dE7B _dOCLCF _dOCLCO _dYDXCP _dEBLCP _dMEAUC _dNLE _dDEBSZ _dOCLCO _dOCLCQ _dOCLCO _dOCLCQ _dCOO _dOCLCO _dNKT _dLOA _dDG1
049			_aMAIN
050		4	_aTX367 _b.B688 2013eb
072		7	_aTEC _x012000 _2bisacsh
082	0	4	_a664.0072 _223
100	1		_aBower, John A. _c(Lecturer in food science)
245	1	0	_aStatistical Methods for Food Science : Introductory Procedures for the Food Practitioner / _cJohn A. Bower, former lecturer and Course Leader (BSc Food Studies) Queen Margaret University, Edinburgh, UK. _h[electronic resource]
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.
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.
588	0		_aPrint version record.
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
942			_2ddc _cBK
999			_c206849 _d206849