Book Title: Significant Statistics

Subtitle: An Introduction to Statistics

Authors: Adapted by John Morgan Russell; from Barbara Illowsky and Susan Dean, David Diez, Mine Cetinkaya-Rundel and Christopher D. Barr; and Julie Vu and David Harrington

Cover image for Significant Statistics

Book Description: Significant Statistics: An Introduction to Statistics is intended for students enrolled in a one-semester introduction to statistics course who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a 'Your Turn' problem that is designed as extra practice for students.

Significant Statistics: An Introduction to Statistics was adapted from content published by OpenStax including Introductory Statistics, OpenIntro Statistics, and Introductory Statistics for the Life and Biomedical Sciences. John Morgan Russell reorganized the existing content and added new content where necessary.

Note to instructors: To access this text in different formats (PDF, EPUB, and print), please visit https://doi.org/10.21061/significantstatistics.

Instructors reviewing, adopting, or adapting this textbook: please help us understand your use by filling out this form: https://bit.ly/stat-interest.

License:
Creative Commons Attribution ShareAlike

Contents

Book Information

Book Description

Significant Statistics: An Introduction to Statistics is intended for students enrolled in a one-semester introduction to statistics course who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a ‘Your Turn’ problem that is designed as extra practice for students.

Significant Statistics: An Introduction to Statistics was adapted from content published by OpenStax including Introductory Statistics, OpenIntro Statistics, and Introductory Statistics for the Life and Biomedical Sciences. John Morgan Russell reorganized the existing content and added new content where necessary.

Note to instructors: To access this text in different formats (PDF, EPUB, and print), please visit https://doi.org/10.21061/significantstatistics.

Instructors reviewing, adopting, or adapting this textbook: please help us understand your use by filling out this form: https://bit.ly/stat-interest.

Book Source

This book was cloned from a source that is no longer available. The source URL was https://opentextbc.ca/introstatopenstax. This book may differ from the original.

Authors

Adapted by John Morgan Russell; from Barbara Illowsky and Susan Dean, David Diez, Mine Cetinkaya-Rundel and Christopher D. Barr; and Julie Vu and David Harrington

License

Icon for the Creative Commons Attribution-ShareAlike 4.0 International License

Significant Statistics Copyright © 2024 by John Morgan Russell, OpenStaxCollege, OpenIntro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

Subject

Probability and statistics

Metadata

Title
Significant Statistics
Authors
Adapted by John Morgan Russell; from Barbara Illowsky and Susan Dean, David Diez, Mine Cetinkaya-Rundel and Christopher D. Barr; and Julie Vu and David Harrington
Illustrator
Kindred Grey
License

Icon for the Creative Commons Attribution-ShareAlike 4.0 International License

Significant Statistics Copyright © 2024 by John Morgan Russell, OpenStaxCollege, OpenIntro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

© John Morgan Russell, 2024. Significant Statistics: An Introduction to Statistics by John Morgan Russell is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

You are free to copy, share, adapt, remix, transform, and build on the material for any purpose as long as you follow the terms of the license: https://creativecommons.org/licenses/by-sa/4.0/.

You must: 

  • Attribute—You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • ShareAlike—If you remix, transform, or build on the material, you must distribute your contributions under the same license as the original.

You may not: 

  • Additional restrictions—You may not add any legal terms or technological measures that legally restrict others from doing anything the license permits.

Attributions: The base of the book is from OpenStax Introductory Statistics by Barbara Illowsky and Susan Dean, which is licensed with a Creative Commons Attribution 4.0 (CC BY 4.0) license, much of which was reworded and reorganized. Additional content from OpenIntro Statistics by David Diez, Mine C¸ etinkaya-Rundel, and Christopher D Barr, and Introductory Statistics for the Life and Biomedical Sciences by Julie Vu and David Harrington, both licensed with a Creative Commons Attribution Share-Alike 3.0 (CC BY-SA 3.0) license, were then added to fill in gaps. Several figures were also adapted from the OpenIntro texts.

Suggested citation: Russell, John Morgan (2024). Significant Statistics: An Introduction to Statistics. Blacksburg: Virginia Tech Department of Statistics. https://doi.org/10.21061/significantstatistics. Licensed with CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/.

Publisher: This work is published by the Virginia Tech Department of Statistics in association with the Open Education Initiative, a division of the University Libraries at Virginia Tech.

Virginia Tech Department of Statistics

Cheatham Hall, 310 West Campus Drive, Blacksburg, VA 24061

Open Education Initiative

University Libraries at Virginia Tech

560 Drillfield Drive Blacksburg, VA 24061 USA

openeducation@vt.edu

Peer review: This book has undergone single-blind peer review.

Accessibility statement: Virginia Tech is committed to making its publications accessible in accordance with the Americans with Disabilities Act of 1990. The Open Education Initiative is committed to continuous improvement regarding accessibility. The text, images, and links in the PDF versions of this text are tagged structurally and include alternative text, which allows for machine readability. Please contact openeducation@vt.edu if you are a person with a disability and have suggestions to make this book more accessible.

Publication cataloging information: 

Russell, John Morgan, author

Significant Statistics: An Introduction to Statistics / John Morgan Russell

Pages cm

ISBN 978-1-962841-01-6 (PDF)

ISBN 978-1-962841-00-9 (EPUB)

ISBN 978-1-957213-85-9 (Pressbooks; https://pressbooks.lib.vt.edu/significantstatistics)

ISBN 978-1-957213-86-6 (Print)

URI (Universal Resource Identifier): https://hdl.handle.net/10919/118481

DOI: https://doi.org/10.21061/significantstatistics

Statistics–Textbooks.

QA276.12  .I45  2024

Cover design: Kindred Grey

Primary Subject
Probability and statistics
Institution
Virginia Polytechnic Institute and State University
Publisher
Department of Statistics in association with the Open Education Initiative
Publication Date
August 15, 2024
Ebook ISBN
978-1-957213-85-9
Print ISBN
978-1-957213-86-6