Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| 260 | Mon, 8/5/2013, 2:00 PM - 3:50 PM | CC-220bc | |
| Contributed Oral Poster Presentations: Section on Statistical Education — Contributed Poster Presentations | |||
| Section on Statistical Education | |||
| Chair(s): Joyee Ghosh, The University of Iowa | |||
| 33: | Looking Forward: Data Mining and the Business Curriculum — Deborah Gougeon | ||
| 34: | A Comprehensive Analytics (Statistics, Data, and Technology) Sequence for Business Students — Scott Toney, University of Denver | ||
| 35: | Improving Efficiency of Computerized Classification Tests Using Modified SPRT — Haskell Sie, Pennsylvania State University ; Jim Rosenberger, Penn State University | ||
| 36: | The Evolution of an Online Program in Applied Statistics at Penn State — Glenn Johnson, Penn State University ; Mosuk Chow, Penn State University | ||
| 37: | A Monte Carlo Investigation of the Effectiveness of Backward Elimination Analysis as a Multivariate Analysis of Variance (MANOVA) Post Hoc Procedure — Chittanun Sitthisan, University of Northern Colorado | ||
| 38: | Assessing Limitations and Uses of Convenience Samples: A Guide for Graduate Students — S. David Kriska, Walden University ; Marcia M. Sass, UMDNJ ; Mark C. Fulcomer, Restat Systems, Inc. | ||
| 39: | Using Media Resources and Journal Articles to Teach Statistics — Phyllis Curtiss, Grand Valley State University | ||
| 40: | Classroom Demonstrations of Parallel Processing for Statistics — Eric Suess, CSU East Bay | ||
| 41: | Innovative Data Visualization: Activities for Your Class — Kirk Anderson, Grand Valley State University | ||
| 42: | Using Internet Videos to Address Availability Stress at Oglala Lakota College for Introduction to Statistics — Frank Matejcik, South Dakota School of Mines | ||
| 43: | Designing a GAISE-Inspired Statistics Course for Current High-School and Community College Mathematics Instructors — Amy Froelich, Iowa State University | ||
| 44: | Recommendations/Learning Outcomes for Master's Degree Programs in Statistics: Report of ASA Workgroup — A. John Bailer, Miami University ; Roger W. Hoerl, GE Global Research ; David Madigan, Columbia University ; Jill Montaquila, Westat ; Tommy Wright, US Bureau of the Census/Center for Statistical Research and Methodology | ||
| 45: | Cookies in the Classroom: Specific Instructions for Implementation — Wilmina Siegfried, Iowa State University ; Ulrike Genschel, Iowa State University ; Juliane Janek, Iowa State University | ||
| 46: | The Data Scientist Degree: A Necessity for Growth in Our Discipline — April Kerby ; Brant Deppa, Winona State University ; Chris J. Malone, Winona State University ; Tisha Hooks, Winona State University | ||
| 47: | Stochastic Challenge — Timothy Matis, Texas Tech University ; Doug Timmer, The University of Texas Pan American ; Ivan Guardiola, Missouri University of Science and Technology | ||
| 48: | Ethical Reasoning for Quantitative Scientists: A Mastery Rubric for Developmental Trajectories and Professionalism, and Portfolios That Document Both — Rochelle Tractenberg | ||
| 49: | Statway Successes — Mary Parker, Austin Community College | ||
| 50: | Measurement Usage in Self-Assessment — Julia Norton, California State University, East Bay ; John Dewey Lovell, California State University, East Bay ; John Alva Norton, California State University, East Bay ; Yaelan Wong, California State University, East Bay | ||
2013 JSM Online Program Home
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