Includes index.

The scientific method
Populations and samples
Principles of measurement
Probability and types of distribution
Confidence intervals and significance testing
Two sample comparisons for normal distributions: the t-test
Non-parametric two-sample tests
Contingency tables, chi-squared test, and Fisher's Exact Test
McNemar's test
Association: correlation and regression
Analysis of variance
Design, sample size, and power
Describing statistical models and selecting appropriate tests
Designing a research protocol
Presenting results to different audiences: an introduction

"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"--Publisher's description.