Palomar College Math Across the Curriculum<\/a><\/p>\n\n\n\n Statistics and Quantitative Literacy<\/a> by Richard Scheaffer. This article outlines the central role of basic statistics concepts in quantitative literacy.<\/p>\n\n\n\n Best Practices for Quantitative Reasoning Instruction<\/a> a project of the City University of New York (CUNY) Quantitative Reasoning Alliance. This page describes six principles for effectively teaching quantitative literacy.<\/p>\n\n\n\n If you\u2019re still not sure what\u2019s considered quantitative reasoning, this Study Packet for the Qualitative Reasoning Assessment<\/a> at Wellesley College might provide some concrete examples.<\/p>\n\n\n\n Census Reporter<\/a> A user-friendly website for analyzing data from the American Community Survey and the U.S. Census.<\/p>\n\n\n\n Note<\/strong>: The following materials are Open Education Resources\u2013check the licenses to determine if they can be revised, remixed, and redistributed freely without having to contact the authors for permission.<\/p>\n\n\n\n PhET Simulations<\/a> Openly licensed simulations of math concepts and applications from the University of Colorado, Boulder. The website also includes a library of activities created by faculty who use PhET simulations in their courses. Examples include Displaying, Analyzing and Summarizing Data<\/a> and Curve Fitting<\/a> to understand data relationships.<\/p>\n\n\n\n Project Quantum Leap Activities Sampler<\/a> This is a collection of real-world-application assignments developed at Laguardia Community College to help students learn and apply algebra concepts.<\/p>\n\n\n\n Numerical Data Analysis<\/a> is an example of a writing assignment requiring students to analyze and represent the meaning of numerical data that are provided by the instructor.<\/p>\n\n\n\n Extract Meaningful Information from Data<\/a> is a set of graphs and questions designed to have students apply critical evaluation techniques to recognize misleading or incomplete conclusions drawn from data and data visualizations.<\/p>\n","protected":false},"excerpt":{"rendered":" Instructor Tools: Palomar College Math Across the Curriculum Statistics and Quantitative Literacy by Richard Scheaffer. This article outlines the central role of basic statistics concepts in quantitative literacy. Best Practices for Quantitative Reasoning Instruction a project of the City University of New York (CUNY) Quantitative Reasoning Alliance. This page describes six principles for effectively teaching… Continue Reading Quantitative Literacy – Assessment Resources<\/span><\/a><\/p>\n","protected":false},"author":353,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1248","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/pages\/1248","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/users\/353"}],"replies":[{"embeddable":true,"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/comments?post=1248"}],"version-history":[{"count":1,"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/pages\/1248\/revisions"}],"predecessor-version":[{"id":1249,"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/pages\/1248\/revisions\/1249"}],"wp:attachment":[{"href":"https:\/\/www.palomar.edu\/teachingexcellence\/wp-json\/wp\/v2\/media?parent=1248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Tools to Use in QL Assignments:<\/h3>\n\n\n\n