• #### Introductory Business Statistics (Tiemann)

Author(s): Thomas K. Tiemann, Elon University

Updated: Jan 10, 2022

Description: THIS BOOK WILL BE ARCHIVED ON JUNE 1, 2022, AS IT NO LONGER MEETS OUR QUALITY STANDARDS. AFTER THIS DATE, YOU WILL BE ABLE TO FIND THE TEXTBOOK IN THE OER BY DISCIPLINE DIRECTORY (https://opentextbc.ca/oerdiscipline/chapter/statistics/). The book "Introductory Business Statistics" by Thomas K. Tiemann explores the basic ideas behind statistics, such as populations, samples, the difference between data and information, and most importantly sampling distributions. The author covers topics includi...[more]

• #### Statistics Using Technology - Third Edition

Author(s): Kathryn Kozak

Updated: Nov 9, 2021

Description: This is an introductory Statistics Textbook for first year college courses. This book places data at the center of the course. It also uses the statistical package R, though you can use another statistical computer package if you wish.

Author(s): Mohammad Mahbobi, Thompson Rivers University, Thomas K. Tiemann, Elon University

Updated: Oct 1, 2021

Description: "Introductory Business Statistics with Interactive Spreadsheets - 1st Canadian Edition" is an adaptation of Thomas K. Tiemann's book, "Introductory Business Statistics". In addition to covering basics such as populations, samples, the difference between data and information, and sampling distributions, descriptive statistics and frequency distributions, normal and t-distributions, hypothesis testing, t-tests, f-tests, analysis of variance, non-parametric tests, and regression basics, the follow...[more]

• #### Introductory Statistics (OpenStax)

Author(s): Barbara Illowsky, De Anza College, Susan Dean, De Anza College

Updated: Aug 26, 2021

Description: Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Stati...[more]

• #### Introductory Business Statistics (OpenStax)

Author(s): Alexander Holmes, Barbara Illowsky, Susan Dean

Updated: Jun 10, 2021

Description: Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

• #### Introductory Statistics (Saylor)

Author(s): Douglas S. Shafer, Zhiyi Zhang

Updated: May 10, 2019

Description: This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students.Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. The authors believe that the students in this course are best served by a focus on the core material and not by an exposure to a plethora of peripheral topics. Therefore in writing this book we have sought to present material that co...[more]

• #### Combinatorics: Enumeration, Graph Theory, and Design Theory

Author(s): Joy Morris, University of Lethbridge

Updated: May 10, 2019

Description: Combinatorics provides an introduction to enumeration, graph theory, and design theory. It is aimed at upper-level undergraduate students and the exercises expect some mathematical sophistication, including a reasonable ability to construct proofs. The text is designed to be used in an undergraduate course, but could be suitable for independent study by a student with some mathematical background and understanding of proofs. It does not assume any background knowledge of combinatorics.