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Lecture notes. Written from the material of GTPB Psls20, licensed CC BY 4.0. Notes, not a transcript — reorganised and rewritten, carrying the same licence.

GTPB Psls20

42 chapters, written from the course's material.

Contents

  1. Statistics in the Scientific Method
  2. Population, Sample, and Random Variables
  3. Experimental Design and Randomization
  4. Describing and Relating Quantitative Data
  5. Data Exploration Case Studies
  6. The Logic of Statistical Inference
  7. The Two-Sample T-Test
  8. Hypothesis-Testing Case Studies
  9. Simple Linear Regression
  10. Linear Regression Case Studies
  11. One-Way ANOVA and Post-Hoc Tests
  12. ANOVA Case Studies
  13. Multiple Linear Regression
  14. Kruskal-Wallis Test for g Groups
  15. Wilcoxon-Mann-Whitney Rank Test
  16. Kruskal-Wallis Test for Groups
  17. Categorical Data Analysis
  18. One-Way ANOVA on Cuckoo Eggs
  19. ANOVA on the Lettuce Dataset
  20. ANOVA on the NHANES Dataset
  21. One-Way ANOVA Worked Example
  22. Breast Cancer Dataset
  23. Smelly Armpit Data Exploration
  24. Visualizing Paired Data
  25. Exploring the FEV Dataset
  26. The NHANES Dataset
  27. Exploring the Captopril Dataset
  28. Exploring the Fish Tank Dataset
  29. Checking t-test Assumptions
  30. One-Sample and Paired t-Tests
  31. Hypothesis Testing on the Cuckoo Data
  32. Hypothesis Testing: The Shrimps Dataset
  33. Kruskal-Wallis and Pairwise Wilcoxon Tests
  34. Linear Regression on Fish Survival
  35. Linear Regression on the FEV Dataset
  36. Confounding and Multiple Regression
  37. Multiple Regression and Confounding: FEV
  38. Fish Tank Multiple Regression
  39. KPNA2 Gene Expression Study
  40. Base R Cheat Sheet
  41. The R Markdown Workflow
  42. Statistics and Data Exploration Review

Sources

The book carries CC BY 4.0.

Offering Original Commit Licence
GTPB Psls20 github.com/GTPB/PSLS20 55acd65 CC BY 4.0