“But It’s a Number, So It Has To Be True!”: An Introduction to Data Literacy, Part IIFriday, July 15, 9:00am - 10:15am EST
Presented by Lynette Hoelter, Interuniversity Consortium for Political and Social Research, University of Michigan, Ann Arbor, MIModerated by Jo Angela Oehrli, University of Michigan Library, Ann Arbor, MI
Data literacy is all about asking questions as one encounters numerical information in popular and scientific media. Numbers can be as fallible as any other source of information. This second in a two part presentation will provide a concrete definition of data literacy, provide examples of the kinds of questions to raise when confronted with data, and give sources of information and types of assignments especially well-suited to building data literacy skills. This second part of the presentation will address the following concepts more closely:- Sampling- Margin of error/confidence- Correlation- “Controlling” for …- SignificanceAttendees will acquire the tools needed to begin similar conversations with students. Because working with numerical evidence is as much or more a mindset as it is a set of mathematical skills, the content should be helpful for teachers in all disciplines, not just math or science.