- Acknowledgements
by
We would like to thank all the students and instructors who have provided input in the development of STAT 217 and how we try to teach these topics. Dr. Jim Robison-Cox initially developed this course using R and much of this work retains his ideas. Many years of teaching these topics and helping researchers use these topics has helped to refine their presentation. Observing students years after the course has also helped to refine what we try to teach in the course, trying to prepare these students for the next levels of statistics courses that they might encounter.
I (Greenwood) have intentionally taken a first person perspective at times to be able to include stories from some of those interactions to try to help you avoid some of their pitfalls in your current or future usage of statistics. I would like to thank my wife, Teresa, for allowing me the time to complete the first version and then update the book. I would also like to acknowledge Dr. Gordon Bril (Luther College) who introduced me to statistics while I was an undergraduate and Dr. Snehalata Huzurbazar (University of Wyoming) that guided me to completing my Master's and Ph.D. in Statistics.
The development of STAT 217 was initially supported with funding from Montana State University's Instructional Innovation Grant Program with a grant titled Towards more active learning in STAT 217. That project was designed to create a set of daily activities and collect some of the instructional knowledge that is lost every time one of the graduate teaching assistants moves on. We initially planned to just adopt some other author's text written for a second semester course, but couldn't find one that was suitable and under $150. So we wrote this book.
This is Version 2.0 of the book, prepared for Spring 2015, which involves some moderate changes in the content and writing, updates to R code, and some added "exercises" at the end of each chapter to allow students to practice what is being discussed.
Banner would have more to note in the acknowledgments in this version if she weren't working hard on completing her doctoral degree.
We have made every attempt to keep costs as low as possible by printing the text in black and white as much as possible. The text (in full color and with working links) is also available as a free digital download from Montana State University's ScholarWorks repository at https://scholarworks.montana.edu/xmlui/handle/1/2999.
Enjoy your journey from introductory to intermediate statistics!
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.