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Lab Modules For a 1 st or 2 nd Statistics Course Shonda Kuiper

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Presentation on theme: "Lab Modules For a 1 st or 2 nd Statistics Course Shonda Kuiper"— Presentation transcript:

1 Lab Modules For a 1 st or 2 nd Statistics Course Shonda Kuiper kuipers@grinnell.edu

2 Outline Project Goals Discipline Specific Lab Components Lab Supplements Materials Example

3 Project Goals 1)Provide undergraduate students with opportunities to understand the intellectual content and broad applicability of statistics as a discipline Restrictions in introductory statistics class No clear second statistics course AP statistics exam enrollments have increased from 7,500 in 1997 to 77,000 in 2005 Statistics enrollments at two-year colleges have grown from 27% of the size of calculus enrollments in 1970 to 74% in 2000 1 1 From the Conference Board of Mathematical Sciences

4 Project Goals 2)Provide opportunities for mathematics majors to interact with the broader scientific community Interdisciplinary lab modules Encourage multidisciplinary group work 3)Strengthen student-faculty research Read and evaluate primary literature Emphasize the process of science and data analysis Oral and written reports and presentations

5 Project Goals 4)Incorporate the GAISE guidelines: Emphasize statistical literacy and develop statistical thinking Use real data Stress conceptual understanding rather than mere knowledge of procedures Foster active learning in the classroom Use technology for developing conceptual understanding and analyzing data Use assessments to improve and evaluate student learning

6 Discipline Specific Lab Components Journal article or reading assignment that incorporates a statistical concept into another discipline An experiment or activity students can conduct and analyze Guided questions for peer review or evaluation of primary literature

7 Lab Supplements Tutorial on the statistical topic List of any prerequisite knowledge that is needed Statistical software instructions (Minitab & R) Directions for writing a research paper or poster Suggestions for instructors

8 Materials 1)Investigating Statistical Concepts, Applications and Methods (ISCAM) A. Rossman and B. Chance NSF DUE-9950476: A Data-Oriented, Active Learning, Post-Calculus Introduction to Statistical Concepts Methods, and Theory 2)Stat2labs NSF DUE#0510392: Kuiper, Moore, and Collins For the end of a 1 st course or in any 2 nd course http://web.grinnell.edu/individuals/kuipers/stat2labs/

9 Lab Modules For a 1 st or 2 nd Statistics Course http://web.grinnell.edu/individuals/kuipers/stat2labs/ Shonda Kuiper kuipers@grinnell.edu


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