1. Quantitative Analysis Center Passion Driven Statistics A Supportive, Project-based, Multidisciplinary Introductory Curriculum Lisa Dierker, Arielle Selya and Jeffrey Nolan Part 1, Friday, August 2, 3:30 pm - 5:30 pm Part 2, Saturday, August 3, 3:30 pm - 5:30 pm Connecticut Convention Center Room 25 1

2. We’ll start after clip (3 mins) 2 Starlight over Wesleyan

3. Quantitative Analysis Center Speakers 3 Lisa Dierker, PhD* Professor, Psychology Chair, Quantitative Analysis Center Arielle Selya, PhD Research Professor Jeff Nolan Visiting Instructor * In China delivering a Passion-Driven Statistics course

4. Quantitative Analysis Center 2-Day Overview Day 1 Fri, 3:00 – 5:00 Context & background Course format & materials Results to-date Lab activity & discussion Day 2 1 Sat, 3:00 – 5:00 Lab activity completed Samples of student work Live demonstration using R Challenges & discussion 4

5. Quantitative Analysis Center Mathfest Description This minicourse exposes participants to a multidisciplinary, project-based model for teaching introductory statistics. We will present new learning materials and innovative teaching strategies that directly and creatively tackle many of the most significant challenges currently faced by introductory statistics instructors and students. The curriculum is aimed at taking advantage of students’ natural curiosity and providing a common language for approaching questions across numerous scientific disciplines. Core features of this curriculum include providing opportunities for students to flexibly apply their knowledge, the use of computing as a window to core statistical concepts, and supporting students with varying levels of preparation. 5

6. Lisa Dierker, PhD W ESLEYAN U NIVERSITY Introduction by Lisa Dierker 6

7. A Supportive, Project-based, Multidisciplinary What we will talk about 7 Passion Driven Statistics Introductory Curriculum Approach to delivering an introductory course American Statistical Association’s Guidelines (GAISE) Valuable across disciplines to open opportunities Aim is to INVITE new talent to the field NOT GATEKEEPING Provide high-availability support for SUCCESS

8. We fan into flame that unique, idiosyncratic spark of personal passion by demonstrating how statistics can fuel that flame What we do in the course 8

9. So what? 9

10. 10 Why care? Why change? Change what? What specifically? What, no math!? Why Wesleyan? Data is transforming society Transformation facilitated by statistics Calls for change in way statistics is taught Economic necessity ASA endorsed guidelines (GAISE) Intrinsic motivationPROJECTS Under-represented groupsTALENT Concepts, data, softwareTOOLS High-availability assistanceSUPPORT Eliminate gatekeeper Expand the pool of talent Invigorate the field Tradition of learning through discovery

11. The changing world 11 Hans Rosling 00:25 – 05:15

12. Quantitative Analysis Center Transformation Advancements in the field of statistics are among the greatest achievements of the 20 th Century It’s impact is seen EVERYWHERE The world has changed dramatically in a remarkably short period of time because of the application of statistics The effects are lasting and irreversible 12

13. Quantitative Analysis Center Accelerator of innovation 13 Agriculture Medicine Engineering Manufacturing Marketing Finance... Ronald A. Fisher Karl Pearson Statistics accelerates innovation in other fields

14. Quantitative Analysis Center Marketing 14 John Wanamaker "Half the money I spend on advertising is wasted; the trouble is I don't know which half." “Big data” refers to vast data sets… Ranging from a few dozen terabytes to many petabytes, they’re so extensive and complex that specialized software tools and analytics expertise are required to collect, manage, and mine them. Selling into Micromarkets July-August 2012

15. Quantitative Analysis Center Liberal Arts school History major Father History Professor Value of information 15 "Information about money has become almost as important as money itself." Wriston built Citibank into America’s largest bank Walter Wriston Decisions are informed by the meaning of data rendered through statistics

16. Quantitative Analysis Center Big Data: V 3 16 VolumeZettabytes VelocityStreaming Variety80% unstructured growth 15x structured Sensors, Connected, Available Supercomputer = Personal Computer 1000 KB kilobyte 1000 2 MB megabyte 1000 3 GB gigabyte 1000 4 TB terabyte 1000 5 PB petabyte 2000 800,000 PB 1000 6 EB exabyte 1000 7 ZB zettabyte2020 35 ZB 1000 8 YB yottabyte Data Stored in the World Facebook10 TB daily Twitter7 TB daily 35 sextillion bytes 10 21

17. Quantitative Analysis Center Data: Economic Asset 17 Balance Sheet Assets Cash Commodities Property, Plant & Equipment Goodwill Intellectual Property Data Agricultural Industrial Information “Data is a new economic asset” http://www.weforum.org/reports/big-data-big-impact-new-possibilities-international-development

18. Quantitative Analysis Center Help Wanted 18 Analytical experts 150,000 – 190,000 Jobs Retrained and New Hires Analytically literate 1,500,000

19. Aerospace Industry saying: “Nice jet, no pilot” Our Challenge 19 Recruit talent from historically overlooked sources Recognize intrinsic motivation as the key driver Invite don’t gate keep : “Love them through the process!” Attract, retain & motivate the next generation

20. Quantitative Analysis Center Pilot Training! 20

21. Quantitative Analysis Center Retooling Stat Ed 21 Recommendations  Concepts  Literacy, Thinking  Active Learning  Technology  Real Data  Assessments What How Feedback (GAISE) No Math!?

22. Curriculum Guidelines 22 George Cobb 22:05 – 23:50

23. Quantitative Analysis Center Statistical Consulting Attraction & Retention 23 QAC201 Data Analysis Research Methods Independent Study Faculty Research Honors Thesis Internships TA Peer Tutor TA - Lead TA - Manager 1 : 5 : 20 Instructor : TAs : Students New CoursesOpportunitiesResponsibilities Peer Tutor Apprenticeship 30 6 5 1 6 Sections @ 20 students

24. Student request 24 Hi Professor Selya, I am a senior at Wesleyan and I am majoring in Art History. I am interested in taking QAC 201, but I see that there are no reserved spots for senior non-majors. I am planning on applying to graduate programs and I'm interested in the research opportunities that this course would afford me. Do you think that there is a possibility of getting into this course?

25. Try it! 25 Wesleyan is a small liberal arts college that has no specific course requirements. The QAC201 course, based on the ASA endorsed guidelines, now attracts more students than all other statistics courses combined. We invite you to share the material we’ve created, to learn and discover as we have, and to develop your own version of Passion Driven Statistics.

26. Why care? Why change? Change what? What specifically? What, no math!? Why Wesleyan? Data is transforming society Transformation facilitated by statistics Calls for change in way statistics is taught Economic necessity ASA endorsed guidelines (GAISE) Intrinsic motivationPROJECTS Under-represented groupsTALENT Concepts, data, softwareTOOLS High-availability assistanceSUPPORT Eliminate gatekeeper Expand the pool of talent Invigorate the field Tradition of learning through discovery Summary 26 √ √ √ √

27. Thank You! 27