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Correlation, Determination, and Causality In Introductory Statistics

Correlation, Determination, and Causality In Introductory Statistics

Created by Milo Schield of Augsberg College, this article discusses teaching causality without being discipline specific. The author states, "To better satisfy the interests of our students and to be inclusive of our own history, we must emphasize causality more in teaching statistics. This paper argues that there are many things that can be taught about causality that are not discipline specific." This six page paper will introduce the topics, and then compare them to causality. The topics for comparison are: correlation, agency, directionality, explanation, correlation: cause and effect, prediction, determination and orthogonality. To wrap the paper up, the author provides a summary and external references.

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