Introductory Statistics with Randomization and Simulation
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Introductory Statistics with Randomization and Simulation

About the Book

Introductory Statistics with Randomization and Simulation offers a novel introduction to statistics at the college level. Extra benefits of Introductory Statistics with Randomization and Simulation vs the expensive alternatives:

  • Every student can access the textbook, even before the course starts, for free.
  • Black-and-white paperbacks are sold on Amazon for $10.
  • Students have forever access to the textbook PDF.
  • We offer a variety of free supplemental resources, including videos and software labs, on

Teachers: register at to get access to teacher-only content, including the option to get a free desk copy or access to exercise solutions. (Sorry to non-teachers, we don't currently offer exercise solutions beyond our Verified Teachers. Details on our reasoning are here.)

FYI: A new edition of this book and with a new title is in development ( Those with access to this title, Introductory Statistics with Randomization and Simulation, on Leanpub will have automatic access to this new title when that book exits the development phase. The book will remain free with an optional contribution when updated, and the original book (ISRS) will be included as a free "Extra".

About the Authors

Mine Cetinkaya-Rundel
Mine Cetinkaya-Rundel

Mine Çetinkaya-Rundel is Senior Lecturer in the School of Mathematics at University of Edinburgh, Data Scientist and Professional Educator at RStudio, and Associate Professor of the Practice position at the Department of Statistical Science at Duke University. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and underrepresented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest, an annual two-day competition in which teams of undergraduate students work to reveal insights into a rich and complex data set. Mine works on the OpenIntro project, whose mission is to make educational products that are free, transparent, and lower barriers to education. As part of this project, she co-authored four open-source introductory statistics textbooks. She is also the creator and maintainer of and she teaches the popular Statistics with R MOOC on Coursera. Mine is a Fellow of the ASA and an Elected Member of the ISI as well as the winner of the 2018 Harvard Pickard Award and the 2016 Waller Education Award.


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