Assignments
Labs
Lab assignments are an opportunity to put the concepts from the notes into practice to answer questions about a real data set. Your lab report should be a pdf file generated from a fully reproducible qmd file. For a helpful R reference, see base R, data visualization (ggplot2), and data wrangling (dplyr).
Problem Sets
Problem sets are nothing more than the worksheets that we do in class. The goal of the problems sets is simply practice: they help you drill the techniques needed to complete the labs.
- PS 1: Taxonomy of Data
- PS 2: Summarizing Categorical Data
- PS 3: Summarizing Numerical Data
- PS 4: Data Pipelines
- PS 5: Summarizing Numerical Associations
- PS 6: Introducing Probability
- PS 7: Computing Probabilities
- PS 8: Probability Distributions
- PS 9: Random Variables
- PS 10: Expected Value and Variance
- PS 11: Sampling Distributions
- PS 12: Bootstrapping
- PS 13: Hypothesis Tests
- PS 14: Hypothesis Tests II
- PS 15: Wrong by Design
- PS 16: The Method of Least Squares
- PS 17: Evaluating and Improving Predictions
- PS 18: Overfitting
- PS 19: Causal Effects in Observational Studies
- PS 20: Using Time to Measure Causal Effects
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