# Foundations in Statistical Reasoning

This book starts by presenting an overview of the statistical thought process. By the end of chapter 2, students are already familiar with concepts such as hypotheses, level of significance, p-values, errors. Normally these topics are not introduced until after a discussion of probability and sampling distributions. My approach to probability and sampling distributions is also very different. Because students using this book know about hypotheses before we reach the probability section, inferential theory can be developed by applying the probability rules the testing of a hypothesis. To me, this leads to better and more interesting questions than are typically asked in these sections and gives meaning to these concepts. Other differences include homework problems that require the integration of topics from different chapters as well as one problem in each chapter based on issues discussed in other classes on our campus (e.g. psychology, criminal justice, economics, etc).
License: Creative Commons Attribution Sharealike Noncommercial. This license is very open. It allows reuse, remixing, and distribution, but prohibits commercial use and requires any remixes use the same license as the original. This limits where the content can be remixed into, but on the other hand ensures that no-one can remix the content then put the remix under a more restrictive license. The non-commercial clause can make getting printed copies of remixes challenging depending upon how strictly the authors interpret the clause.
Formats:
• DOC. A DOC file can be opened using Microsoft Word or OpenOffice.org. It is an editable format
• PDF. A Portable Document Format (PDF) file is can be opened using the free Acrobat Reader. It is not an editable format.
Openness Rating (0-4): 3
• Chapter 1 The Big Picture
• Chapter 2 Elementary Hypothesis Testing
• Chapter 3 Obtaining Useful Evidence
• Chapter 4 Examining the Evidence Using Graphs and Statistics
• Chapter 5 Inferential Theory
• Chapter 6 Testing Hypotheses
• Chapter 7 Confidence Intervals and Sample Size
• Chapter 8 Analysis of Bivariate Quantitative Data
• Chapter 9 Chi Square
• Chapter 10 In-class Activities
Supplements: None