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 Fishers Exact Test 167
Chapter 9lsu