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Introductory Statistics 

MAT 131: Elementary Statistics and Probability

Abstract: This open textbook has been adopted in a Math course for Undergraduate students by Chau Tran at California State University, Dominguez Hills. The open textbook provides high quality content along with a robust set of faculty supplements. I decided to invest in OER to help students facing financial burden. I like applying interesting, flexible, and quality sources they can utilize for their assignments. Most student access the open textbook in [format and/or access method].


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About the Textbook

Introductory Statistics

Description: 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.  

Authors: 

Barbara Illowsky, De Anza College

Susan Dean, De Anza College

Formats: Downloadable textbook and integrated it in Blackboard. OpenStax includes a view online tool for the textbook. 

Supplemental resources: Include PowerPoint decks, instructor solutions manual, and student getting started guides.

Cost savings: Specify potential cost savings to students from adopting an open textbook instead of the traditional publisher textbook previously used.

Accessibility statement

License: Creative Commons Attribution License v4.0

About the Course

MAT 131: Elementary Statistics and Probability

Description:  MAT 131 is a practical course in probability and statistics including such topics as the binomial and normal distributions, confidence intervals, t, F, and chi-square tests, linear regression and correlation, and conditional probability. Satisfies the General Education Quantitative Reasoning Requirement.

Prerequisites: MAT 131 prerequisites include entry Level Mathematics Examination

Learning outcomes:  Upon completing MAT 131 and 132 courses the student will demonstrate understanding of the relationship between a question that is asked in the natural, economic, and social sciences and the nature of the numerical data that are needed in order to provide an answer to the question. They will be able to carry out required algebraic manipulations, with appropriate use of a calculator or other aid, to analyze and understand the implications contained in a set of numerical data and draw valid inferences from collections of numerical data.

Curricular changes: Explain any curricular changes made to the course as a result of the open textbook adoption.


Teaching and learning impacts: 

I Collaborate more with other faculty Yes

Use a wider range of teaching materials: Yes
I believe my students' learning has improved Yes
I believe student retention has improved : Yes
There have been unexpected results: Yes

Sample syllabus: Link or upload your syllabus that illustrates how the open textbook is used in the course. 

Sample assignment:  Link or upload a sample assignment that illustrates how the open textbook is used in the course. Include the rubric that is used for evaluating student work.

Textbook Adoption

OER Adoption Process

I observed that many students didn’t purchase the required textbooks. They also struggled in understanding the material; even students who bought the textbooks. I wondered if applying OER and other software in statistics courses would improve retention and success rates. I considered giving students access to OER textbooks, software programs such as GeoGebra, Desmos, e-stat, etc., and providing visual tools prior to the start of the course. I anticipated that these measures would help students develop a deeper understanding of the material.

Student access: I prepared a downloadable textbook and integrated it in Blackboard. Students only need to login to Blackboard. 

Student feedback about using OER:  The students are satisfied with the content which is readily available for them from the first day they enroll into the class and acquire access to their Blackboard account.  

Chau Tran 

I am a Math professor at the California State University, Dominguez Hills. I teach MAT 131 - Elementary Statistics and Probability, MAT 132 – Statistics and Probability with Support, MAT 153 – Pre-Calculus with Trigonometry. 

Describe your teaching philosophy and any research interests related to your discipline or teaching.