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Gina Reed Gainesville State College
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ASA/MAA Recommendations Emphasize the elements of statistical thinking Incorporate more data and concepts Foster active learning
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GAISE Process Formulate Statistical Question Collect Data Analyze Data Interpret Results
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Definition of Service Learning in Statistics A concrete application of statistical methods using real data with the analysis and interpretation that is useful to a community agency
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Course Level Introductory Statistics Introductory Honors Statistics Data Analysis and Probability For Elementary Education
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Necessary Technology Minitab Software Graphing Calculator Word
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Potential Client Pool United Way agencies Community groups K-12 schools Local businesses
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Initial Client Contact Professor Student
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Client Selection Suitability (mutually beneficial) Instrument Development Data Collection Data Analysis
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Project Description Statistical Question Clarify the problem Question formulation must be answered using data Data Collection Design a plan Employ plan
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Project Description Data Analysis Select appropriate graphs and numeric measures Interpretation Relate interpretation to answering the original question Executive Summary Written report Oral report
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Labs and Class Activities Measures of Central Tendency Measures of Variation Graphs (Histograms, Bar Graphs, Scatterplots, etc.) Correlation (if feasible) Confidence Intervals Hypothesis Testing
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Timeline First day of class-General description Fourth week-Initial contact and questions Eighth week-Data collection Twelfth week-Preliminary written report Sixteenth week Final written report Oral presentation
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Grading Individual grade Written component Oral component Group grade
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Group Member Evaluation Please list each member’s name, including yourself, and evaluate them on scale of 0 to 100 in each category. Initial Planning Organization skills Leadership Attendance at meetings Data entry Minitab participation Written report participation Oral report preparation Overall performance Additional comments:
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Student Reflective Process Necessary component of service learning Written Oral
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Considerations Pre-semester contact Reconfiguration of curriculum Agency’s priorities Post-semester contact
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Impact Course Students
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Student Evaluation of Project I better understood the material covered in the course I can write more effectively using statistical language. I am more competent using technological tools (i.e. calculators, computer software). I can see the "real world" applications of statistics. Is a positive addition to the course. What did you like best about the project? What did you like least about the project?
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Grading rubric for written/oral reports Problem Identification/Question Formulation Clear description of data collection Clear description of data analysis Analysis/ Interpretation technically correct Readability of visual aids Transitions Closing Executive Summary
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Resources Mathematics In Service To The Community: Concepts and Models for Service-Learning in Mathematical Sciences, MAA Notes #66, Charles Hadlock, Editor Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report, ASA, Franklin et al., 2007 http://www.amstat.org/education/gaise/ http://www.amstat.org/education/gaise/
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Contact Information greed@gsc.edu
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