Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political scienc...

An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields. - Utilizes real datasets to illustrate Bayesian models and their resu...

This book draws attention to the ways in which an awareness of, and sensitivity to, embodiment can enlighten educational practices. It explores discourses from a range of thinkers, including Merleau-Ponty, Gadamer, Bakhtin, Haraway and Ahmed to name a few. The book argues that attention to embodiment can help us to reimagine the goals of education in ways that fit more coherently with human concerns and that offer the chance to provide education that is more holistic and grounded in our co...

Clinical reasoning lies at the core of health care practice and education. Clinical Reasoning in the Health Professions, therefore, occupies a central place in the education of health professionals, the enhancement of professional decision making of individuals and groups of practitioners with their clients, and research into optimal practice reasoning. All chapters updated and 20 new chapters added Concrete examples, cases and vignettes were added to bring discussions to life for the read...