References for Scatterplots and Association
Curated resources to deepen your understanding of scatterplots, correlation, and bivariate relationships.
Wikipedia Articles
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Scatter plot - Wikipedia - Overview of scatterplot construction, interpretation, and common patterns including how to identify direction, form, and strength of associations.
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Correlation - Wikipedia - Explains the concept of statistical correlation, different types of correlation measures, and the important distinction between correlation and causation.
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Pearson correlation coefficient - Wikipedia - Detailed explanation of the correlation coefficient r, including its formula, properties, and interpretation guidelines for different values.
Textbooks
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The Practice of Statistics by Starnes, Tabor, Yates, and Moore - W.H. Freeman (2018) - Thorough treatment of scatterplots, correlation, and bivariate data analysis with AP exam-aligned examples and practice problems.
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Statistics in Action: Understanding a World of Data by Watkins, Scheaffer, and Cobb - Key Curriculum Press (2008) - Activity-based approach to learning about association between variables with hands-on data exploration.
Online Resources
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Correlation and Scatterplots - Khan Academy - Video tutorials explaining how to create and interpret scatterplots, calculate correlation, and understand the properties and limitations of r.
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Guess the Correlation Game - guessthecorrelation.com - Interactive game that helps students develop intuition for estimating correlation values by looking at scatterplots.
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NCTM Illuminations: Line of Best Fit - National Council of Teachers of Mathematics - Interactive applet allowing students to explore how data points affect the correlation coefficient and best-fit line.
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Spurious Correlations - tylervigen.com - Entertaining collection of absurd correlations demonstrating why correlation does not imply causation, perfect for classroom discussion.
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AP Statistics: Exploring Two-Variable Data - College Board - Official AP course materials and sample questions covering scatterplots, correlation, and their proper interpretation on the exam.