Course Terms of Use

All Saylor Academy courses are licensed under a Creative Commons Attribution 3.0 Unported License. For licensing purposes, a "course" is defined as the structure, syllabus, learning outcomes, unit descriptions, and the framing text that accompanies resources curated from third parties. That excludes the third party resources themselves, including the following resources used in this course, which contain the individual licenses listed below:

College of Micronesia-FSM: Dana Lee Ling's Introduction to Statistics Using OpenOffice.org, LibreOffice.org Calc, 4th edition:

Khan Academy's Statistics Videos:

Spreadsheet Activities:

  • Attributed to Saylor Academy
  • Licensed under CC BY 3.0

Susan Dean and Barbara Illowsky's Collaborative Statistics:

University of California, Berkeley: Philip Stark's Statistics 21 Lectures:

  • Attributed to Philip B. Stark and University of California, Berkeley
  • Licensed under CC BY-NC-ND 3.0
  • Originals can be found here: 

University of California, Berkeley: Philip Stark's SticiGui:

U.S. Department of Commerce: NIST/SEMATECH e-Handbook of Statistical Methods:

"Why Do We Need to Study Statistical Analysis as Part of a Business Program? ":

  • Attributed to Saylor Academy
  • Licensed under CC BY 3.0

Last modified: Tuesday, 18 August 2015, 7:30 PM