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Introduction to Statistics

Resources

Schedule
Practice Quizzes

Discussion Assignments

Discussion and Discussion Assignments
Week 1: Context and scale
Week 2: Calculating probabilities
Week 3: Common mistakes in conditional logic
Week 4: Data visualization
Week 5: Fundamental Summary Statistics
Week 6: Estimating from a sample
Week 7: Hypothesis testing
Week 8: Experimental Design
Week 9: Review Session

Discussion Slides

Discussion 1: Thinking about scale
Discussion 2: Calculating probabilities
Discussion 3: Common mistakes in conditional logic
Discussion 4: Data visualization vibecoding
Discussion 5: Fundamental Summary Statistics
Discussion 6: Estimating from a sample
Discussion 7: Hypothesis Testing
Discussion 8: Randomized Controlled Trials

Unit 1: Thinking about Scale

Lecture 1: Welcome to Statistics!
Lecture 2: Thinking about scale
Lecture 3: Cost-benefit analysis

Unit 2: Probability

Lecture 4: Intro to probability
Lecture 5: Coincidences
Lecture 6: Conditional probability
Lecture 7: Bayes’ Rule
Lecture 8: Common mistakes in conditional logic
Lecture 10: Probability and Expectation in Sports

Unit 3: Exploratory Data Analysis

Lecture 9: Data collection day!
Lecture 11: Data Visualization
Lecture 12: Summaries of Center
Lecture 13: Variability
Lecture 14: When means mislead
Lecture 15: Correlation

Unit 4: Correlation and Experiments

Lecture 16: Sample size matters
Lecture 17: The Normal Approximation
Lecture 18: Selection Bias
Lecture 19: Hypothesis testing
Lecture 20: Multiple Testing
Lecture 21: Testing for Correlation
Lecture 22: Randomized Experiments
Lecture 23: The Potential Outcomes Model
Lecture 24: Normal Approximation for Experiments

Unit 5: Regression and Machine Learning

Lecture 25: Intro to machine learning
Lecture 26: Nearest Neighbors
Lecture 27: Generative models for text
Lecture 28: Outtro

Lecture Worksheets

Worksheet 1: Welcome to Statistics!
Worksheet 2: Thinking about scale
Worksheet 3: Cost-Benefit Analysis
Worksheet 4: Intro to probability
Worksheet 5: Coincidences
Worksheet 6: Conditioning
Worksheet 7: Bayes’ Rule
Worksheet 8: Common mistakes in conditional logic
Worksheet 9: Data collection day
Worksheet 10: Probability and Expectation in Sports
Worksheet 12: Summaries of Center
Worksheet 13: Variability
Worksheet 14: When means mislead
Worksheet 15: Correlation
Worksheet 16: Sample Size Matters
Worksheet 17: The Normal Approximation
Worksheet 18: Selection Bias
Worksheet 19: Hypothesis testing
Worksheet 20: Multiple testing
Worksheet 21: Testing for correlation
Worksheet 22: Randomized Experiments
Worksheet 23: The Potential Outcomes Model
Worksheet 24: Normal Approximation for Experiments
Worksheet 25: Intro to Machine Learning
Worksheet 26: Nearest Neighbors
Worksheet 27: Text generation

Index

By Tselil Schramm

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