Details

Statistics in Nutrition and Dietetics


Statistics in Nutrition and Dietetics


1. Aufl.

von: Michael Nelson

50,99 €

Verlag: Wiley-Blackwell
Format: EPUB
Veröffentl.: 10.01.2020
ISBN/EAN: 9781118930625
Sprache: englisch
Anzahl Seiten: 392

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

Statistics in Nutrition and Dietetics is a clear and accessible volume introducing the basic concepts of the scientific method, statistical analysis, and research in the context of the increasingly evidence-based field of nutrition and dietetics. Focusing on quantitative analysis and drawing on short, practical exercises and real-world examples, this reader-friendly textbook helps students understand samples, principles of measurement, confidence intervals, the theoretical basis and practical application of statistical tests, and more. Includes numerous examples and exercises that demonstrate how to compute the relevant outcome measures for a variety of tests, both by hand and using SPSS Provides access to online resources, including analysis-ready data sets, flow charts, further readings and a range of instructor materials such as PowerPoint slides and lecture notes Ideal for demystifying statistical analysis for undergraduate and postgraduate students
About the Author ix Preface xi Acknowledgements xv About the Companion Website xvii Part 1 Setting the Statistical Scene 1 Chapter 1 The Scientific Method 3 Chapter 2 Populations and Samples 31 Chapter 3 Principles of Measurement 71 Chapter 4 Probability and Types of Distribution 95 Chapter 5 Confidence Intervals and Significance Testing 115 Part 2 Statistical Tests 131 Chapter 6 Two Sample Comparisons for Normal Distributions: The t-test 135 Chapter 7 Nonparametric Two-Sample Tests 155 Chapter 8 Contingency Tables, Chi-Squared Test, and Fisher’s Exact Test 167 Chapter 9 McNemar’s Test 195 Chapter 10 Association: Correlation and Regression 205 Chapter 11 Analysis of Variance 227 Part 3 Doing Research 249 Chapter 12 Design, Sample Size, and Power 251 Chapter 13 Describing Statistical Models and Selecting Appropriate Tests 263 Chapter 14 Designing a Research Protocol 267 Chapter 15 Presenting Results to Different Audiences 283 Part 4 Solutions to Exercises 299 Appendix A1 Probabilities (P) of the Binomial Distribution for n, r, and p (Based on Sample Proportions) or ? (Proportion in the Population) 323 Appendix A2 Areas in the Tail of the Normal Distribution 341 Appendix A3 Areas in the Tail of the t Distribution 343 Appendix A4 Wilcoxon U Statistic (Mann–Whitney Test) 345 Appendix A5 Wilcoxon T Statistic 347 Appendix A6 Sign Test Statistic R 349 Appendix A7 Percentages in the Tail of the Chi-Squared Distribution 351 Appendix A8 Quantiles of the Spearman Rank Correlation Coefficient 353 Appendix A9 Percentages in the Tail of the F Distribution 355 Appendix A10 Flow Chart for Selecting Statistical Tests 363 Index 365
Dr Michael Nelson is Director of PHN Research Ltd, a consultancy that aims to foster better public health nutrition research. He is Emeritus Reader in Public Health Nutrition at King's College London, London, UK.
" ESSENTIAL READING " —Professor Susan Lanham-New Professor of Human Nutrition University of Surrey Statistics in Nutrition and Dietetics is a clear and accessible volume introducing the basic concepts of the scientific method, statistical analysis, and research in the context of the increasingly evidence-based field of nutrition and dietetics. Focusing on quantitative analysis and drawing on short, practical exercises and real-world examples, this reader-friendly textbook helps students understand samples, principles of measurement, confidence intervals, the theoretical basis and practical application of statistical tests, and more. Includes numerous examples and exercises that demonstrate how to compute the relevant outcome measures for a variety of tests, both by hand and using SPSS Provides access to online resources, including analysis-ready data sets, flow charts, further readings and a range of instructor materials such as PowerPoint slides and lecture notes Ideal for demystifying statistical analysis for undergraduate and postgraduate students

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