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).
Worksheets
Worksheets are pen-and-paper practice problems that we work on in class. The goal of the worksheets is simply practice: they help you drill the techniques needed to complete the labs.
- WS 1: A Grammar of Graphics
- WS 2: Bootstrapping
- WS 3: Causal Effects in Observational Studies
- WS 4: Causal Effects in Observational Studies
- WS 5: Computing Probabilities
- WS 6: Conditioning
- WS 7: Evaluating and Improving Predictions
- WS 8: Expected Value and Variance
- WS 9: Hypothesis Tests
- WS 10: Hypothesis Tests II
- WS 11: Introducing Probability
- WS 12: Overfitting
- WS 13: Probability Distributions
- WS 14: Random Variables
- WS 15: Sampling Distributions
- WS 16: Summarizing Categorical Data
- WS 17: Summarizing Numerical Associations
- WS 18: Summarizing Numerical Data
- WS 19: Taxonomy of Data
- WS 20: The Method of Least Squares
- WS 21: Using Time to Measure Causal Effects
- WS 22: Using Time to Measure Causal Effects
- WS 23: Wrong by Design
- WS 24:
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