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References for Communication and Synthesis

Curated resources to deepen your understanding of statistical communication, practical significance, and AP exam preparation strategies.


Wikipedia Articles

  1. Statistical significance - Wikipedia - Explains the difference between statistical and practical significance, the history of significance testing, and common misconceptions about p-values that students should understand.

  2. Effect size - Wikipedia - Comprehensive overview of effect size measures including Cohen's d, correlation coefficients, and guidelines for interpreting small, medium, and large effects in research contexts.

  3. Replication (statistics) - Wikipedia - Discusses why replication matters in science, the reproducibility crisis, and how understanding study limitations helps interpret whether findings are trustworthy.

Textbooks

  1. The Practice of Statistics by Starnes, Tabor, Yates, and Moore - W.H. Freeman (2018) - Includes chapters on communicating statistical results, understanding study design limitations, and synthesizing inference procedures for comprehensive AP exam preparation.

  2. Statistics in Plain English by Timothy Urdan - Routledge (2017) - Exceptionally clear explanations of statistical concepts written for students, with emphasis on interpretation and communication rather than computation.

Online Resources

  1. AP Statistics Course and Exam Description - College Board - Essential resource containing complete learning objectives, sample exam questions, scoring guidelines, and the official formula sheet students receive on exam day.

  2. Albert.io AP Statistics - Albert.io - Practice questions organized by topic with detailed explanations, including free-response questions graded according to AP rubrics with feedback on common errors.

  3. StatsClass: AP Statistics Review - StatsClass - Video review sessions covering all major topics with exam-taking strategies, time management tips, and practice with calculator procedures.

  4. How to Lie with Statistics - Darrell Huff (Classic Text Summary) - Understanding this classic helps students recognize misleading statistics in media and develops critical thinking about data presentation and study limitations.

  5. ASA Statement on P-Values - American Statistical Association - Official guidance from professional statisticians on proper interpretation of p-values and the importance of considering effect sizes and practical significance alongside statistical tests.