Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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196
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Mon, 7/30/2018,
10:30 AM -
11:15 AM
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CC-West Hall B
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SPEED: Teaching Statistics: Strategies and Applications — Contributed Poster Presentations
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Section on Statistical Education
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Chair(s): Paul McNicholas, McMaster University
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Oral Presentations
for this session.
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1:
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Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Darlene Olsen, Norwich University
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3:
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The Statistics Workshop: Cultivating Diversity in Statistics
Gretchen Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
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4:
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Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
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5:
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Shiny Dashboards to Help Students Improve Performance
Robert Carver, Brandeis International Business School
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6:
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A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
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7:
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How Students Make Sense of Data on an E-Learning Platform
Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
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8:
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Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses
Ryne VanKrevelen, Elon University; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
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9:
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The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education
James Pleuss, United States Military Academy
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10:
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A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
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11:
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The Novel Communication Tool: Mathematics Classroom Collaborator (MC2)
Sohee Kang, University of Toronto Scarborough; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
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12:
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Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA
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14:
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Type S Error Control in Hypothesis Testing
Andrew Neath, SIU Edwardsville
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15:
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Affordable and Open Educational Resources (OER) in Statistical Education
Suhwon Lee, Univ of Missouri
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16:
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Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
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17:
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Teaching Statistical Consulting at Primarily Undergraduate Institutions
Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
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18:
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Helping All Students Properly Design and Analyze Experiments
Jennifer Broatch, Arizona State University
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19:
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Recreational Statistics at the Junior High/High-School Level
Joy Yang, MIT
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20:
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Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
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