#
Applied Statistics I
Basic Bivariate Techniques

- Rebecca M. Warner - University of New Hampshire, USA

*Applied Statistics: From Bivariate Through Multivariate Techniques*has been split into two volumes for ease of use over a two-course sequence.

**Applied Statistics I: Basic Bivariate Techniques,**is an introductory statistics text based on chapters from the first half of the original book.

*Third Edition*The author's contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website.

**Bundle and Save**

*Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition*

Bundle Volume I and II ISBN: 978-1-0718-1337-9

An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I

An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I

Bundle ISBN: 978-1-0718-1325-6

### Supplements

Password-protected

**Instructor Resources**include the following:

- Editable, chapter-specific Microsoft®
**PowerPoint**® slides offer you complete flexibility in easily creating a multimedia presentation for your course. **Test banks**in Word and LMS-ready formats provide a diverse range of pre-written options as well as the opportunity to edit any question and/or insert your own personalized questions to effectively assess students’ progress and understanding.**Tables and figures**from the printed book are available in an easily-downloadable format for use in papers, hand-outs, and presentations.**Answers to comprehension questions**from the text.

**Open-access Student Resources** include flashcards, web resources, and data sets provided by the author for student download for completing in-chapter exercises.

“Combined, these texts provide both simplistic explanations of analyses, and also in-depth exploration of them with examples. Thus, they prove to be a useful resource to beginning statistics students all the way through the dissertation level, and even for faculty conducting research.”

**Cleveland State University**

“This book presents statistical complexity in a friendly and uncomplicated way with friendly text and plenty of helpful diagrams and tables.”

**University of Chichester, U.K.**

“Well-written, comprehensive statistics book. A very valuable resource for advanced undergraduate and graduate students.”

**Illinois State University**

“Warner's textbook is ideal for graduate or advanced undergraduate students providing extensive, yet highly accessible, coverage of important issues in fundamental research design and statistical analysis and newer recommendations in how to conduct statistical analysis and report results ethically. She writes extremely well and my students find her book very readable and useful.”

**University of Western Ontario**

“The book is well-written and focuses on practical applications of the concepts rather than typical ‘textbook’ applications. The focus on meaning rather than the mechanics of computation is also a strength.”

**Wayne State University**

### Sample Materials & Chapters

Chapter 1. Evaluating Numerical Information

Chapter 2. Basic Research Concepts