Environmental Issues for Statistics Education
8:30 AM Saturday, November 21, 2015; Session Chair: Robert Andrews (Virginia Commonwealth University)

A Preliminary Study of Chinese Business Students' Attitudes Toward Statistics
Ping Wang, James Madison University [presentation]

Barriers of Adopting Statistics by Firms Adopting Lean Methodology
Deepak Iyengar, Central Washington University [presentation]
Shashank Rao, Auburn University (co-author)

Experiences with a Variety of Technologies Designed to Aid Instruction
10:30 AM Saturday, November 21, 2015; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Presenters share their experiences, both pro and con, with a variety of technologies available to aid instruction. Blackboard, publisher supplied supplements to a text such as homework managers and other learning aids, tools for doing online surveys and Cognella will be addressed. Attendees can add to the discussion.
Presenters:
Jim Evans, University of Cincinnati [Using Blackboard for Assignment Grading]
David Stephan, Two Bridges Instructional Technology [Observations on Learning Management Systems]
Joan Donohue, University of South Carolina [Comparing Online Survey Tools]

Explain What It Means: Communication, Visualization, Presentation and Storytelling for Analysis Results
1:30 PM Saturday, November 21, 2015; Session Chair: Linda Boardman Liu, Boston College
Abstract: Discussion of approaches to and importance of incorporating communication in analytical courses. Whether through written analysis, creating presentations, data visualization, or storytelling, the practical relevance of any analysis is best realized when the analysis is communicated, understood, and turned into actionable information. Attendees are encouraged to contribute to the discussion.
Presenters:
Wilma Andrews, Virginia Commonwealth University, [Current Trends in Presentation Skills]
Satish Nargundkar, Georgia State University []
Linda Boardman Liu, Boston Collegey []
Kellie Keeling, University of Denver [Visualization of Textual Data Storytelling]

AACSB Resources for Building an Undergraduate or Graduate Level Business Analytics Program
3:30 PM Saturday, November 21, 2015; Session Chairs: Paul Cronan and David Douglas, University of Arkansas
Abstract: Report on AACSB's analytics initiative designed to help schools develop programs by providing a mix of curriculum content, pedagogy, and structure resources for schools contemplating development of or enhancement of Business Analytics. Panelists from the AACSB Analytics Curriculum Advisory Group will share resources and encourage interactive attendee discussion.
Presenters: Paul Cronan and David Douglas, University of Arkansas [Session PowerPoint]
Michael Goul, Arizona State University
Patrick Cullen, AACSB International

Applications of JMP and Minitab Software for Supporting Analytical Instruction
8:30 AM Sunday, November 22, 2015; Session Chair: Robert Andrews (Virginia Commonwealth University) Abstract: This session features applications of JMP and Minitab Software for analyzing real data as good teaching examples for instruction in statistics and analytics. Presentations will include graphing and data visualization, summary statistics, linear regression, logistic regression, penalized regression, and classification and regression trees.

Using College Football Scores to Illustrate Basic Statistical Concepts with Minitab
Abstract: Minitab demonstration of how a real data set consisting of college football scores from over 10,000 games can be used as a good teaching example with surprisingly good relationships between variables to illustrate graphical visualizations, summary statistics, regression, and logistic regression.
Presenter: Scott Kowalski, Minitab

Interactive Predictive Modeling Using JMP 12 Pro
Abstract: We use case studies to create and compare predictive models using JMP 12 Pro. First, we explore and prepare data for modeling. Then we consider a variety of modeling techniques: linear and logistic regression, penalized regression, and classification and regression trees. Finally, we compare a variety of competing models.
Presenter: Mia Stephens, JMP

Demonstrations of IBM, Tableau and Microsoft Software for Supporting Analytical Instruction
1:30 PM Sunday, November 22, 2015; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Representatives from IBM, Tableau and Microsoft will demonstrate the use their company’s software for analyzing data and showing how the respective products can be used for statistics and analytics instruction.
Presenters:
Frank J Tringali & Randy Messina, IBM [demonstrated Watson Analytics ]
Andrew Barker, Tableau Software [demonstrated Tableau, ]
Kamal Hithi, Microsoft [demonstrated Power BI, ]

What are the Important Skills/Tools that Should be Taught for Analytics Students?
3:30 PM Sunday, November 22, 2015; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Analytics covers a lot of different skills and it is impossible to teach everything. The panel addresses important skills/tools ranging from data collection and preparation to the balance between knowing how a tool functions and knowing how to apply the results. Attendees will be encouraged to enter the discussion.
Presenters:
Curt Hinrichs, JMP [Business Analytics Skills]
Yan Li, Claremont Graduate University [Importance of Data Skills]
Weiyong Zhang, Old Dominion University
Bob McQuaid, Pepperdine []

Thoughts, Tips and Suggestions for Teaching Statistics for Today's Students
8:30 AM Monday, November 23, 2015; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract:This session is designed to be an interactive discussion that will address the important topics of visualization with tables and charts, regression, using a relevant case to better engage students, differences in online and classroom instruction and staying current with new technology.
Presenters:
David Levine, Baruch College [Thought on Course Topics]
Tracy Rishel, The Citadel [Presentation of Using Race Data for Teaching ] & [Race Data in Excel file]
Sudip Ghosh; Penn State University, Berks College
Wilma Andrews, Virginia Commonwealth University [What's New with Excel]

Caucus/Business Meeting of the Making Statistics More Effective in Schools of Business DSI Specific Interest Group
1:30 AM Monday, November 23, 2015; Session Chair: Robert Andrews, Virginia Commonwealth University
Summary: This meeting focused on the name for the SIG. After discussion of numerous names the group decided to change the name for the SIG from Making Statistics More Effective in Schools of Business to Data, Analytics and Statistics Instruction, DASI.
2015 Report for the Making Statistics More Effective in Schools of Business DSI Specific Interest Group

General information about Making Statistics More Effective in Schools of Business