Introduction
Welcome to Significant Statistics: An Introduction to Statistics. This textbook was written to provide students access to highquality learning materials at no cost. These types of materials available under Creative Commons licenses are often called open educational resources (OER).
Statistics is about separating the signal from the noise, differentiating between actual significance and random chance occurrences. In addition to demonstrating the basic concepts underlying that task, this book attempts to focus on what is significant, eliminating some of the noise commonly found in introductory statistics texts.
In this book, I have “remixed” sections from two of the most widely used OER texts in the introductory statistics space and sprinkled in some thoughts of my own. This book does not lean on any specific technology, focusing instead on concepts.
Most sections feature worked examples with solutions, some of which have interactive features. Then “Your Turn!” problems are included to encourage readers to try similar problems independently. Each endofchapter “WrapUp” includes summaries of each section, key terms, and more practice problems.
Thanks for choosing this book. I hope it proves useful!
Sincerely,
John Morgan Russell
Significant Statistics: An Introduction to Statistics is intended as a onesemester introduction to statistics for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in realworld settings, and assumes that students have an understanding of intermediate algebra. In addition to endofsection practice and homework sets, examples of each topic are explained step by step throughout the text and followed by a Your Turn! problem for extra practice.
Having successfully completed the course, the student should be able to:

Identify and critique the use of statistical reasoning in science, industry, and public discourse

Identify the appropriate data needed to answer research questions

Assign appropriate data collection methods

Apply appropriate methods of data visualization to explore data from a variety of disciplines

Analyze provided data and use relevant technology when needed

Appropriately interpret results of data exploration and statistical tests

Employ critical thinking to make decisions

Apply ethical reasoning and principles to scientific research
This book will cover the following topics:
 Chapter 1: Sampling and Data
 Chapter 2: Descriptive Statistics
 Chapter 3: Bivariate Data
 Chapter 4: Probability and Random Variables
 Chapter 5: Introduction to Inference
 Chapter 6: OneSample Inference
 Chapter 7: TwoSample Inference