The apps in this collection are the work of twenty undergraduate students majoring in Statistics at Penn State University. The students took part in the BOAST program in 2017, 2018, or 2019. (BOAST = Book Of Apps for Statistics Teaching). The program included either a DataCamp course on Shiny (2018, 2019) or a full day workshop at the U.S. Conference On Teaching Statistics on Developing R Shiny Applications to Enhance Teaching and Learning presented by Justin Post and Herle McGowan from North Carolina State University (2017). This was followed by a full-time summer research experience developing the apps in this collection throughout the months of June and July. Finally, the BOAST students take part in a one-credit research class in Fall semester to showcase their work to statistics instructors, prepare a survey and IRB application to get student feedback in a human subjects research setting, and then formally test their apps in a live class. Besides gaining expertise in R and R Shiny, the students gained a deeper understanding of selected statistical concepts and learned crucial skills in the team-based reproducible development of software (e.g. though the use of the GitHub platform). This book is laid out in eleven chapters with four at the introductory level covering topics in Data Gathering, Data Description, Basic Probability, and Statistical Inference and with seven chapters at the upper division level covering Probability, Regression, ANOVA, Time Series, Sampling, Categorical Data, and Data Science.
- Program Supervisor and Principal Mentor: Dennis Pearl
- Faculty Mentors: Matthew Beckman (2017 – 2019) and Priyangi Bulathsinhala (2017)
- I.T. Support: Bob Carey and Kathleen Smith
- 2017 BOAST Students: Alex Chen, Qichao Chen, Jinglin Feng, Zibin Gao, Sitong Liu, Ryan Manigly-Haney, David Robinson, Yingjie Wang (2018 Peer Mentor), Caihui Xiao, Yuxin Zhang (2017 Website Coordinator)
- 2018 BOAST Students: Jiajun Gao, Stephen Li, Thomas Mclntyre, Samuel Messer, Angela Ting, Ryan J Voyack, Luxin Wang, Zhiliang Zhang, Yinqi Zhang (2019 Peer Mentor), Yubaihe Zhou (2018 Website Coordinator)
- 2019 BOAST Students: Oluwafunke Alliyu (2019 Website Coordinator), Yiyun Gong, Sean Klavans, Yuqing Lei, Shubo Sun, Jingjun Wang, Ruisi Wang, Yiyang Wang, Zhiruo Wang, Yutong Wu, and Shunqi Zhang.
Disclaimer: Because of time constraints, these apps have not yet been thoroughly tested on multiple platforms and by large groups of users. Please send lists of bugs and suggestions for improvement to Dennis Pearl (firstname.lastname@example.org). This website is best optimized on Google Chrome.
Instructors: email Dennis Pearl to request instructor resources for this app collection (lesson plans and multiple choice assessment items).
Icons and Attributes Key:
|Jump to the homepage of the PSU Statistics Department from within an app or back to this page from outside the apps.|
Hints for the app
Instructions for the app
Return to Homepage
Play slider animation
|Explore with simulation
Real data usage
Median 5-point mobile friendliness rating reported by multiple users:
1 = Not functional
2 = Functional – Very awkward
3 = Functional – Okay if no big screen available
4 = Usable in a small class setting
5 = Readily usable