stats103

  • Part I — Elements

  • chapter 1 — The R Environment
    chapter 2 — Getting Started With Data
    chapter 3 — Wrangling and Visualizing Data
    chapter 4 — Basic Data Analysis
    chapter 5 — Basic Data Modeling
  • Part I\(\frac 12\) — A Probabilistic Bridge

  • chapter 7 — Elements of Probability
    chapter 8 — The Algebra of Random Variables
    chapter 9 — Distributions of Random Variables
  • Part II — Variability

  • chapter 10 — Samples, Sampling, and Variability
    chapter 11 — The Central Limit Theorem
    chapter 12 — Intervals
    chapter 13 — Testing Significance
    chapter 14 — Joint Variability
    chapter 15 — A Little Regression Theory
    chapter 16 — Inference from Regression Models, Part I
  • Part III — Bias

  • chapter 17 — Validity and Bias
    chapter 18 — Quantifying the Error of an Estimator
    chapter 19 — Inference from Regression Models, Part II
    chapter 20 — Causal Inference
    chapter 21 — Model Selection and the Bias-Variance Tradeoff
  • Part IV — Further Topics

  • chapter 22 — Logistic Regression
    chapter 23 — Time Series
    chapter 24 — Maximum Likelihood