This resource contains class notes, an activity handout, and a facilitation guide. Students play the game “Let’s Make a Deal” to explore the underlying probability that guides the optimal strategy for contestants. This activity aligns with MATH 1342 Learning Outcome 3: Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.

  Introductory Statistics is a non-calculus based, descriptive statistics course with applications. Topics include methods of collecting, organizing, and interpreting data; measures of central tendency, position, and variability for grouped and ungrouped data; frequency distributions and their graphical representations; introduction to probability theory, standard normal distribution, and areas under the curve. Course materials created by Fahmil Shah, content added to OER Commons by Victoria Vidal.

This resource from the U.S. Census Bureau provides examples of Visualizations that can be utilized to discuss the various elements of statistics: Data Collection, Data Representation, Data Analysis, and Data Interpretation.

This course blends Introductory Statistics from OpenStax with other OER to offer a first course in statistics intended for students majoring in fields other than mathematics and engineering. This course 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 the OpenStax text is Collaborative Statistics, by Barbara Illowsky and Susan Dean. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them.

This open course for Elementary Statistics was created through a Round Ten Textbook Transformation Grant:

https://oer.galileo.usg.edu/mathematics-collections/39/

The open course contains ancillary materials for OpenStax Introductory Statistics:

https://openstax.org/details/books/introductory-statistics

Included in the course are introductions to each lesson, lecture slides, videos, and problem questions. Topics include:

Types of Data
Sampling Techniques
Qualitative Data
Frequency Distributions
Descriptive Statistics
Variation and Position
Confidence Intervals
Hypothesis Testing
Chi-Square Goodness of Fit
Linear Regression
Variance ANOVA

This google drive has notes for an Elementary Statistics I course. The chapter and sections numbers correspond to the OER textbook by Openstax, Introductory Statistics.

This google drive has notes for an Elementary Statistics II course. The chapter and section numbers correspond to the OER textbook by Openstax, Introductory Statistics.

This resource contains a news article about using algorithms to stop gerrymandering and a lesson plan to pair with the article.Students make predictions, calculator confidence intervals, and discover the Law of Large Numbers via simulation. This lesson can be closed with a discussion of the Central Limit Theorem. This activity aligns with MATH 1342 Learning Outcome 5: Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables and Learning Outcome 6: Describe and compute confidence intervals.

This resource contains a news article and a facilitation guide. Students play the game “Let’s Make a Deal” to explore the underlying probability that guides the optimal strategy for contestants. This activity aligns with MATH 1342 Learning Outcome 4: Explain the role of probability in statistics.

This resource contains a news article, probability table, statistical study skill, and facilitation guide. Students investigate the role of statistics and mathematical modeling in football analysis. This activity aligns with MATH 1342 Learning Outcome 1: Explain the use of data collection and statistics as tools to reach reasonable conclusions.

This resource contains class notes and exercises for a course on Fundamental Statistics. Each section is provided in its own Google Doc to allow for remixing and adapting as needed.

The book aims to provide a more holistic approach to supplement traditional statistics textbooks. It includes deriving hypotheses from research questions, explaining statistical power and Type II error more in-depth, emphasizing conceptual understanding over calculations, using software for computations, adding interactive animations, and providing Excel data sets. Preliminary student results showed increased engagement and comprehension of hypothesis testing logic after incorporating a holistic approach.

The book is published under a Creative Commons license to make it freely available to students, as the author believes in open sharing of educational resources. The introduction references stories about drug research failures to illustrate Type I and Type II errors and includes a poem about blind men feeling different elephant parts to represent flaws in reductionist-only research. Overall, the book seeks to bring a more holistic perspective to the traditionally reductionist inferential statistics curriculum.

The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more. It is assumed that the students do have basic skills in using computers and have access to one. Moreover, it is assumed that the students are willing to actively follow the discussion in the text, to practice, and more importantly, to think.

Introduction to Statistics is a resource for learning and teaching introductory statistics. This work is in the public domain. Therefore, it can be copied and reproduced without limitation. However, we would appreciate a citation where possible. Please cite as: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University. Instructor's manual, PowerPoint Slides, and additional questions are available.

The main goal of the course is to highlight the general assumptions and methods that underlie all statistical analysis. The purpose is to get a good understanding of the scope, and the limitations of these methods. We also want to learn as much as possible about the assumptions behind the most common methods, in order to evaluate if they apply with reasonable accuracy to a given situation. Our goal is not so much learning bread and butter techniques: these are pre-programmed in widely available and used software, so much so that a mechanical acquisition of these techniques could be quickly done "on the job". What is more challenging is the evaluation of what the results of a statistical procedure really mean, how reliable they are in given circumstances, and what their limitations are.Login: guest_oclPassword: ocl

  Introductory Statistics is a non-calculus based, descriptive statistics course with applications. Topics include methods of collecting, organizing, and interpreting data; measures of central tendency, position, and variability for grouped and ungrouped data; frequency distributions and their graphical representations; introduction to probability theory, standard normal distribution, and areas under the curve. Course materials created by Fahmil Shah, content added to OER Commons by Victoria Vidal.

  Introductory Statistics is a non-calculus based, descriptive statistics course with applications. Topics include methods of collecting, organizing, and interpreting data; measures of central tendency, position, and variability for grouped and ungrouped data; frequency distributions and their graphical representations; introduction to probability theory, standard normal distribution, and areas under the curve. Course materials created by Fahmil Shah, content added to OER Commons by Victoria Vidal.

Susan Dean and Barbara Illowsky (Published 2013 by OpenStax College)
Adapted by: College of Lake County Faculty: Riyanti Boyd and Natalia Casper
Revised July 2021

This project was funded by a grant from the College of Lake County Foundation.
Adapted College of Lake County text can be found at:
http://dept.clcillinois.edu/mth/oer/IntroductoryStatistics.pdf

Original text materials for Introductory Statistics by Dean and Illowski 2013
available at: http://cnx.org/content/col11562/latest/.

Original Publication Under the following license:

This work is licensed under the
Creative Commons Attribution-Noncommercial-Share Alike 3.0 unported license.
To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco,
California, 94105, USA.

Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.

(1) Statistics is an applied field with a wide range of practical applications.

(2) You don't have to be a math guru to learn from interesting, real data.

(3) Data are messy, and statistical tools are imperfect. However, when you understand the strengths and weaknesses of these tools, you can use them to learn interesting things about the world.