Getting involved with OpenIntro

Mine Cetinkaya-Rundel

Duke University

August 4, 2011

The OpenIntro project: openintro.org

Open-source products, including a free textbook and free coursemanagement tools

Built by teachers, for teachers

Free means free for you and your students

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Textbook: OpenIntro Statistics

Preliminary Edition

Released July 2010

Used in three distinct courses

Two at Harvard University and one at Princeton

Updates based on feedback from students and instructors

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Textbook: OpenIntro Statistics

First Edition

Released July 2011

Free PDF at openintro.org

Paperback from Amazon ($9.02)

TeX code will be available atopenintro.org

OpenIntro Statistics

David M DiezChristopher D BarrMine Çetinkaya-Rundel

OpenIntro S

tatisticsD

iez, Barr, Ç

etinkaya-Rundel

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing introductory books and teaching tools that are free to use and easy to modify. Together with the statistics education community, OpenIntro hopes to lead a growing movement in open source education. Our inaugural effort is OpenIntro Statistics.

The Preliminary Edition of OpenIntro Statistics, used by early adopters at Harvard and Princeton, has given way to the official First Edition. With over 100 pages of new content, the First Edition delivers an array of additional topics, including data collection, chi-square testing, and multiple regression. While the book has expanded, our core philosophy remains the same. Probability is optional, simulation is key, and we feature real data whenever possible. Most importantly, files for the entire book are still freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.

The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our new website, openintro.org. The site offers free course management tools that include an online question bank, utilities for creating course quizzes, and other supplemental resources. First Edition

First Edition

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Highlights

Completely open source(CC BY-NC-ND 3.0)

Focus on clear and concisetreatments

Inference through theory andsimulation

Real data

Limited probability

Exercises within the text

Extended problem sets at theend of each chapter

AP ready + more

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Layout

1 Introduction to data

2 Probability

3 Distribution of random variables

4 Foundations for inference

5 Large sample inference

6 Small sample inference

7 Introduction to linear regression

8 Advanced regression

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Companion R package: openintro

Available on CRAN

Data sets used in the textand end of chapter exercises

Functions for replicatingplots in the book

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Online question bank

All textbook questionsavailable online (in progress)

Organized by relevantchapter and section

Browse by topic or search bykeyword

Create or modify questionsusing a simple markuplanguage

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Online quiz system

Easy to construct, distribute, grade

Immediate feedback for students

Use questions from the questionbank or create your own

Supports multiple choice andnumerical response

Results (in progress)

Class level reportingTo be released September 2011

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Computer labs and teaching aids (in progress)

Introductory labs

Using R Studio

Assume no knowledge of R or programming

Screencasts demonstrating the labs

PDF and TeX files to be released

Teaching aids

Lecture slides

Closely follow the textAdditional examplesCan easily be formatted as handouts

Discussion notes for course TAs

PDF and TeX files to be released

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How to get involved: Teachers

Try out OpenIntro Statistics in your class

Use the course management tools

Tell your colleagues and friends about us

Let us know how we are doing

What new products do you want to see?What existing products do you want to see grow?Send us email or post comments to our blog

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How to get involved: Students

Use our textbook, even if it is supplemental material for your course

Be an advocate, tell other students to try out OpenIntro

Let us know what you like, where we can improve, and what else weshould try

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demo...

OpenIntro team

David Diez: product development, textbook, website

Postdoc, Harvard - Biostatistics

Chris Barr: business operations, textbook editing

Assistant Professor, Harvard - Biostatistics

Mine Cetinkaya-Rundel: textbook, problem sets, labs

Assistant Professor of the Practice, Duke - Statistics

Rob Gould: guidance on content and structure

Undergraduate Vice-Chair, UCLA - Statistics

Andrew Bray: labs, online question bank

Graduate Student, UCLA - Statistics

Meenal Patel: editor, design consultant

Graphic Designer

Filipp Brunshteyn: project strategy

Consultant

Chris Pope: outreach

Consultant

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