Gina Reed Gainesville State College

ASA/MAA Recommendations Emphasize the elements of statistical thinking Incorporate more data and concepts Foster active learning

GAISE Process Formulate Statistical Question Collect Data Analyze Data Interpret Results

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

Course Level Introductory Statistics Introductory Honors Statistics Data Analysis and Probability For Elementary Education

Necessary Technology Minitab Software Graphing Calculator Word

Potential Client Pool United Way agencies Community groups K-12 schools Local businesses

Initial Client Contact Professor Student

Client Selection Suitability (mutually beneficial) Instrument Development Data Collection Data Analysis

Project Description Statistical Question Clarify the problem Question formulation must be answered using data Data Collection Design a plan Employ plan

Project Description Data Analysis Select appropriate graphs and numeric measures Interpretation Relate interpretation to answering the original question Executive Summary Written report Oral report

Labs and Class Activities Measures of Central Tendency Measures of Variation Graphs (Histograms, Bar Graphs, Scatterplots, etc.) Correlation (if feasible) Confidence Intervals Hypothesis Testing

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

Grading Individual grade Written component Oral component Group grade

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:

Student Reflective Process Necessary component of service learning Written Oral

Considerations Pre-semester contact Reconfiguration of curriculum Agency’s priorities Post-semester contact

Impact Course Students

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?

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

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.,

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