Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
334
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-325
SPEED: Statistical Education — Contributed Speed
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section on Statistical Learning and Data Science , Social Statistics Section
Chair(s): Gwendolyn Eadie, McMaster University
The Poster portion will take place during Session 214590
10:35 AM
Benefits of Using Real Data Sets to Instruct Business Students in Data Mining Techniques
—
Kathleen Garwood, Saint Joseph's University
10:40 AM
A prediction model for understanding statistical replication
—
Andrew Neath, SIU Edwardsville
10:45 AM
Triathlon Road Closure Control
—
Zonghuan (Jason) Li, Student ; Mason Chen, Mason Chen Consulting
10:50 AM
Using an Alternative Sequence for Teaching an Undergraduate Introductory Statistics
—
Phyllis Curtiss, Grand Valley State University ; Robert Pearson, Grand Valley State University
10:55 AM
Reflections and Faculty Feedback on an Alternative Sequence for Teaching an Undergraduate Introductory Statistics Course
—
Robert Pearson, Grand Valley State University ; Phyllis Curtiss, Grand Valley State University
11:00 AM
Statistics as a Basic Leadership Competency: Making the Case to Executives and Educators
—
Matthew Jones, Walden University
11:05 AM
Learning Statistics with Productive Practice and Technology
—
Brenda Gunderson, Univ of Michigan
11:10 AM
Applying Logistic Regression to Student Data to Determine Retention of Students at a Large University
—
Reema Thakkar, RTI International ; Emily Griffith, NC State University ; Stephany Dunstan, N.C. State University
11:15 AM
First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years
—
John McKenzie, Babson College
11:20 AM
Developing Partnerships with an AP Statistics Practice Exam
—
Christy Brown, Clemson University ; Ellen Breazel, Clemson University ; Elizabeth Johnson, George Mason University ; Jonathan Duggins, NC State University ; Bryan Crissinger, University of Delaware
11:30 AM
Helping Under Prepared Students Succeed in Introductory Statistics
—
Paul Plummer, University of Central Missouri
11:35 AM
Using Video Presentations for Assessment in Introductory Statistics Courses
—
Melissa Pittard, University of Kentucky
11:40 AM
Longitudinal Modeling in Applied Research: Implications for Improving Practice
—
Niloofar Ramezani, University of Northern Colorado ; Kerry Duck, University of Northern Colorado ; Austin Brown, University of Northern Colorado ; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University ; Trent Lalonde, University of Northern Colorado
11:45 AM
P-Value as Strength of Evidence Measured by Confidence Distribution
—
Sifan Liu, Rutgers Univ Statistics Dept
11:50 AM
Definition and Confusion About Independence
—
Robert Molnar, Oklahoma State University
11:55 AM
If Only R Would Grade My Students' Projects
—
Robin Lock, St. Lawrence University
12:00 PM
Odds Ratio Versus Risk Ratio in Prevalence Trend Analysis
—
Scott McClintock, West Chester University ; Randall Rieger, West Chester University ; Zhen-qiang Ma, Pennsylvania Department of Health
12:05 PM
Using Data Mining to Identify At-Risk Freshmen
—
Nora Galambos, Stony Brook University
12:10 PM
Assessing the Effectiveness of Mentoring Youth
—
Laura Albrecht ; Keenan O'brien, Metropolitan State University of Denver ; Matthew Shaw, Metropolitan State University of Denver
12:15 PM
Floor Discussion