# 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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