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Elementary Algebra
Unrestricted Use
CC BY
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Elementary Algebra is a work text that covers the traditional topics studied in a modern elementary algebra course. It is intended for students who (1) have no exposure to elementary algebra, (2) have previously had an unpleasant experience with elementary algebra, or (3) need to review algebraic concepts and techniques.

Subject:
Algebra
Material Type:
Full Course
Textbook
Provider:
Rice University
Provider Set:
OpenStax CNX
Author:
Denny Burzynski
Wade Ellis
Date Added:
08/16/2010
Introductory Statistics - Chapter 1: Sampling and Data
Conditional Remix & Share Permitted
CC BY-NC
Rating

Summary
Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

Senior Contributing Authors
Barbara Illowsky, De Anza College
Susan Dean, De Anza College

Subject:
Mathematics
Material Type:
Lesson
Module
Unit of Study
Author:
Amanda Postle
Date Added:
08/07/2018
OpenStax Biology 2e, The Chemistry of Life, The Study of Life, The Science of Biology
Unrestricted Use
CC BY
Rating

By the end of this section, you will be able to do the following:

Identify the shared characteristics of the natural sciences
Summarize the steps of the scientific method
Compare inductive reasoning with deductive reasoning
Describe the goals of basic science and applied science

Subject:
Applied Science
Material Type:
Module
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
09/21/2018
OpenStax Psychology, Psychological Research, Analyzing Findings
Unrestricted Use
CC BY
Rating

By the end of this section, you will be able to:

Explain what a correlation coefficient tells us about the relationship between variables
Recognize that correlation does not indicate a cause-and-effect relationship between variables
Discuss our tendency to look for relationships between variables that do not really exist
Explain random sampling and assignment of participants into experimental and control groups
Discuss how experimenter or participant bias could affect the results of an experiment
Identify independent and dependent variables

Subject:
Social Science
Material Type:
Module
Provider:
Rice University
Provider Set:
OpenStax College
Date Added:
06/20/2018