Undergraduate foundations · Early release

Introduction to Statistics

Statistics is the study of what we can learn from incomplete information. That includes measuring uncertainty, making decisions, and knowing when not to trust an answer.

Start lesson one →Read or print the textbook →Week 1 investigation →Video pilot studio →Try the ungraded self-check →View the 14-week plan →Run actual R →Analyze real data →Instructor resources →Course capstone →

Self-study record · Optional

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Curriculum status: A complete first-pass 45-lesson textbook sequence is drafted across four units and fourteen weeks, but lesson-by-lesson editorial review, formal assessments, original video lectures, and learner pilots remain necessary. An ungraded self-check with 33 questions is available; videos and graded assessments are not yet available.

Unit 1

Thinking with and describing data

Empirical questions, measurement, description and responsible visualizations.

Unit 2

Sampling, probability, and distributions

Sampling design, conditional probability and probability distributions.

Unit 3

Statistical estimation and inference

Uncertainty, estimation, tests, comparisons and resampling.

Unit 4

Models, causal limits, and research practice

Regression, confounding, categorical models and independent research.