From audience analysis to giving a presentation, Stand up, Speak out: The Practice and Ethics of Public Speaking will guide students through the speech making process. The authors focus on the process of speech making because they have created this book to be a user-friendly guide to creating, researching, and presenting public speeches. While both classic and current academic research in public speaking guide this book, the authors believe that a new textbook in public speaking should first, and foremost, be a practical book that helps students prepare and deliver a variety of different types of speeches — and that is the primary goal of this book.
Fundamental Methods of Logic is suitable for a one-semester introduction to logic/critical reasoning course. It covers a variety of topics at an introductory level. Chapter One introduces basic notions, such as arguments and explanations, validity and soundness, deductive and inductive reasoning; it also covers basic analytical techniques, such as distinguishing premises from conclusions and diagramming arguments. Chapter Two discusses informal logical fallacies. Chapters Three and Four concern deductive logic, introducing the basics of Aristotelian and Sentential Logic, respectively. Chapter Five deals with analogical and causal reasoning, including a discussion of Mill's Methods. Chapter Six covers basic probability calculations, Bayesian inference, fundamental statistical concepts and techniques, and common statistical fallacies.
This book will help you to understand elementary mathematics more deeply, gain facility with creating and using mathematical notation, develop a habit of looking for reasons and creating mathematical explanations, and become more comfortable exploring unfamiliar mathematical situations.
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to
undergraduate psychology students, focusing on the use of the R statistical software. The book discusses
how to get started in R as well as giving an introduction to data manipulation and writing scripts. From
a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters
on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory,
the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics
are covered at the end of the book.