Thinking with and describing data
12 independently checkable multiple-choice questions with answer explanations and opportunities to revisit the lessons.
Begin unit 1 assessment →Four units · Formative assessment
Can you explain the answer?
The goal of an assessment is to discover what you understand, not to reward lucky clicking. Each unit has a complete set of questions with immediate explanatory feedback after submission.
Current assessment status: These are first-pass formative unit examinations, not psychometrically validated high-stakes tests. No scores are transmitted or stored, and the site does not issue university grades or credit.
Sampling, probability, and distributions
13 independently checkable multiple-choice questions with answer explanations and opportunities to revisit the lessons.
Begin unit 2 assessment →Statistical estimation and inference
13 independently checkable multiple-choice questions with answer explanations and opportunities to revisit the lessons.
Begin unit 3 assessment →Models, causal limits, and research practice
13 independently checkable multiple-choice questions with answer explanations and opportunities to revisit the lessons.
Begin unit 4 assessment →What these tests cover
Unit 1 tests data, design, numerical description, and graphical ethics. Unit 2 covers sampling, probability, distributions, and base rates. Unit 3 asks you to interpret uncertainty, comparisons, statistical tests, power, and resampling. Unit 4 covers regression, ANOVA, logistic models, confounding, missingness, and reporting.
For open-ended research skills, the final project has a separate scoring rubric. No multiple-choice test can fully replace interpreting data in a defensible written analysis.