Details

<p>About the Author ix</p> <p>Preface xi</p> <p>Acknowledgements xv</p> <p>About the Companion Website xvii</p> <p><b>Part 1 Setting the Statistical Scene 1</b></p> <p>Chapter 1 The Scientific Method 3</p> <p>Chapter 2 Populations and Samples 31</p> <p>Chapter 3 Principles of Measurement 71</p> <p>Chapter 4 Probability and Types of Distribution 95</p> <p>Chapter 5 Confidence Intervals and Significance Testing 115</p> <p><b>Part 2 Statistical Tests 131</b></p> <p>Chapter 6 Two Sample Comparisons for Normal Distributions: The <i>t</i>-test 135</p> <p>Chapter 7 Nonparametric Two-Sample Tests 155</p> <p>Chapter 8 Contingency Tables, Chi-Squared Test, and Fisher’s Exact Test 167</p> <p>Chapter 9 McNemar’s Test 195</p> <p>Chapter 10 Association: Correlation and Regression 205</p> <p>Chapter 11 Analysis of Variance 227</p> <p><b>Part 3 Doing Research 249</b></p> <p>Chapter 12 Design, Sample Size, and Power 251</p> <p>Chapter 13 Describing Statistical Models and Selecting Appropriate Tests 263</p> <p>Chapter 14 Designing a Research Protocol 267</p> <p>Chapter 15 Presenting Results to Different Audiences 283</p> <p><b>Part 4 Solutions to Exercises 299</b></p> <p>Appendix A1 Probabilities (<i>P</i>) of the Binomial Distribution for <i>n, r, </i>and <i>p </i>(Based on Sample Proportions) or <i>π </i>(Proportion in the Population) 323</p> <p>Appendix A2 Areas in the Tail of the Normal Distribution 341</p> <p>Appendix A3 Areas in the Tail of the <i>t </i>Distribution 343</p> <p>Appendix A4 Wilcoxon <i>U </i>Statistic (Mann–Whitney Test) 345</p> <p>Appendix A5 Wilcoxon <i>T </i>Statistic 347</p> <p>Appendix A6 Sign Test Statistic <i>R 349</i></p> <p>Appendix A7 Percentages in the Tail of the Chi-Squared Distribution 351</p> <p>Appendix A8 Quantiles of the Spearman Rank Correlation Coefficient 353</p> <p>Appendix A9 Percentages in the Tail of the <i>F </i>Distribution 355</p> <p>Appendix A10 Flow Chart for Selecting Statistical Tests 363</p> <p>Index 365</p>

<p><b>Dr Michael Nelson</b> 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.

<p><b> " ESSENTIAL READING " </b></br> —Professor Susan Lanham-New Professor of Human Nutrition University of Surrey <p>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. <ul> <li>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</li> <li>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</li> <li>Ideal for demystifying statistical analysis for undergraduate and postgraduate students</li> </ul>

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