# Pacing and module map

* Chapter 0: Course intro, tools, and reproducibility
* Chapter 1: Probability basics and distributions
* Chapter 2: Descriptive statistics and exploratory data analysis
* Chapter 3: Measurement uncertainty, precision, and accuracy
* Chapter 4: Error propagation and confidence intervals
* Chapter 5: Hypothesis testing (t-test, chi-square, F-test)
* Chapter 6: Experimental design and one-way ANOVA
* Chapter 7: Two-way ANOVA, blocking, and factorial designs
* Chapter 8: Variance components and interactions
* Chapter 9: Regression (linear) and correlation
* Chapter 10: Nonlinear regression and parameter precision
* Chapter 11: Autocorrelation, time series basics, nonparametric tests
* Chapter 12: Review, project presentations, exam