User:ASnieckus/StatisticsContent

Statistics n. 1 :a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data

"Masses of numerical data?"...that would be numbers. Sometimes lots of them. All over the world today, numbers serve to shape our ideas, discussions, arguments and decisions. Nearly every profession requires an understanding of and ability to work with numbers. Some see a need for greater levels of statistical literacy to enable us all to deal more appropriately with the data and numbers we encounter everyday. The internet contains a wealth of statistics content, but too often it is proprietary, inadequate, and lacking the flexibility to adapt to learner needs. The need for educational content in statistics that is open, reliable, appealing and adaptable is now greater than ever.

The purpose of the WE Statistics Content project is to create content modules that provide instruction in beginning statistics. These modules can then be collected into larger units or courses, as needed to serve individual learners.

Key Design Principles
Each statistics content module


 * is self-contained, to the extent possible, on one page
 * is grounded in real-world examples
 * includes links to pedagogically earlier content in the preknowledge section
 * is organized in a content cluster, as a subpage under a cluster heading (e.g., the "Boxplots" module, as part of the graphing cluster, is a subpage under "Graphs and Charts")
 * includes links to self-assessment questions and interactive answers (stored on a subpage)
 * includes links to instructions for performing calculations on real-world data in OpenOffice CALC and/or R, an open source statistical computing software application (stored on a subpage)
 * links statistical concepts to their corresponding MathGloss definition
 * add more here

To the extent possible, content will be reused or adapted from existing OER materials.

OERs for use in Deriving/Adapting Content

 * Collaborative Statistics, by Dr. Barbara Illowsky, Susan Dean - an OER textbook, CC-BY.
 * Online Statistics: An Interactive Multimedia Course of Study, PD, cite where possible.
 * Probability and Statistics EBook, from UCLA Statistics Online Computational Resource, "completely open-access (in terms of use and contributions)."
 * Quantitative Methods in Social Sciences e-Lessons, emailed Columbia's CMNTL project requesting copyright information