Description

Book Synopsis
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 SPSSProvides 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 notesIdeal for demystifying statistical analysis for undergraduate and postgraduate students

Table of Contents

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 π (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

Statistics in Nutrition and Dietetics

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    A Paperback / softback by Michael Nelson

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      Publisher: John Wiley and Sons Ltd
      Publication Date: 06/02/2020
      ISBN13: 9781118930649, 978-1118930649
      ISBN10: 1118930649

      Description

      Book Synopsis
      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 SPSSProvides 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 notesIdeal for demystifying statistical analysis for undergraduate and postgraduate students

      Table of Contents

      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 π (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

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