Crash Course Statistics Complete Curriculum | 12 Weeks

Teach the complete Crash Course Statistics sequence with one organized 12-week supplemental curriculum for Grades 9-12.

FREE CURRICULUM SNEAK PEEK: Download the free Crash Course Statistics Full Curriculum Educator Planning Guide.

Try an actual lesson free: FREE #1 What Is Statistics - Crash Course Statistics.

This curriculum brings together all 44 individual Crash Course Statistics episode lesson sets plus 11 weekly assessment banks, four unit assessments, one cumulative Final Assessment, the robust Week 6 Should We Believe This Claim? application lesson, an Educator Planning Guide, and a Student Syllabus.

The sequence moves from statistical thinking, data summaries, visualization, research design, and ethics into probability, uncertainty, confidence intervals, p-values, power, Bayesian reasoning, statistical tests, regression, ANOVA, model fitting, machine learning, Big Data, neural networks, and prediction. Students repeatedly practice deciding what a result supports, what uncertainty remains, and when a claim goes beyond the evidence.

New Optional Video Companion (used with YouTube)

Use the free Classroom Video Guide Companion Chrome extension with the episode lessons in this curriculum to automatically pause YouTube at question timestamps and display prompts during viewing. This optional tool can make whole-class, small-group, and independent video lessons easier to facilitate, but the resource works normally without it.

What's Included

• 44 individual Crash Course Statistics episode lesson sets
• 44 Teacher Guides
• 44 digital Student Worksheet sets
• 44 print-friendly Student Worksheet sets
• 44 self-graded Google Forms episode quizzes
• 44 Multiple Choice Quiz Print versions
• Episode vocabulary, chronological time-stamped A/B questions, end-of-video synthesis questions, answer keys, and model-answer support
• 11 weekly assessment banks: W01-W11
• 4 unit assessment banks: U01-U04
• 1 cumulative Final Assessment
• Week 6 student application lesson: Should We Believe This Claim?
• Educator Planning Guide
• Student Syllabus

12-Week Course Structure

• Unit 1 | Weeks 1-3 | Episodes #01-#12: Statistical Thinking, Data & Research Design
• Unit 2 | Weeks 4-6 | Episodes #13-#23: Probability, Uncertainty & Statistical Inference
• Unit 3 | Weeks 7-9 | Episodes #24-#35: Bayesian Reasoning, Statistical Tests & Models
• Unit 4 | Weeks 10-12 | Episodes #36-#44: Machine Learning, Big Data & Predictive Decision-Making

Week 6: Three P-value/power episodes are followed by the student-facing Should We Believe This Claim? application lesson, then W06.

Weeks 10-11: Each has an intentional open Day 4 for catch-up, discussion, reteaching, selected daily-guide questions, or teacher-chosen application. No thin filler worksheet is required.

Week 12: Episodes #42-#44 close the playlist. Day 4 is available for cumulative review or selected U04 work. Day 5 is the cumulative Final; there is intentionally no separate W12 weekly assessment.

Assessment System

The assessment files are flexible item banks rather than mandatory one-period tests.

• Weekly Assessments W01-W11: 12 vocabulary terms, 10 A/B written-response questions, and 30 multiple-choice questions per bank.
• Unit Assessments U01-U04: 15 vocabulary terms, 12 A/B written-response questions, and 40 multiple-choice questions per bank.
• Cumulative Final: 20 vocabulary terms, 15 A/B written-response questions, and 60 multiple-choice questions.

Teachers may assign full banks, choose a class-period subset, split sections across days, reserve unused questions for retakes/intervention, or use unit assessments as replacement checkpoints.

What Students Practice

• Interpreting statistics in context rather than treating formulas as isolated procedures
• Explaining center, spread, distributions, graphs, and outliers
• Distinguishing association from causation and evaluating experiments/sampling
• Reasoning with probability, confidence intervals, p-values, error rates, and power
• Comparing Bayesian and frequentist evidence
• Choosing or interpreting common tests and models
• Recognizing p-hacking, replication problems, bias, opacity, and privacy risks
• Evaluating prediction systems and explaining uncertainty and practical consequences

Flexible Classroom Use

Use the curriculum as a regular 12-week supplemental sequence, a semester component, summer-school or credit-recovery course, long-term substitute plan, review program, intervention sequence, enrichment unit, or independent-study framework. The Educator Planning Guide includes regular and compressed pacing.

Print and Digital Options

• Google Forms self-graded quizzes
• Digital Student Worksheets and Student Assessments
• Print-friendly Student Worksheets and Student Assessments
• Multiple Choice Quiz Print versions
• Teacher Guides with answer keys and instructional support

Prefer an Episode-Only Bundle?

• Crash Course Statistics #1-#11 Video Lesson Set | Data, Graphs & Research Design
• Crash Course Statistics #12-#23 Video Lesson Set | Probability, Confidence & P-Values
• Crash Course Statistics #24-#34 Video Lesson Set | Bayesian Inference, Tests & ANOVA
• Crash Course Statistics #35-#44 Video Lesson Set | Models, Machine Learning & Prediction

Frequently Asked Questions

Are the Crash Course videos included?

No. This product provides independent educator-created classroom materials designed for use with publicly available Crash Course Statistics videos.

Does this include all 44 episode lesson sets?

Yes. The Full Curriculum includes all four paid episode-bundle sets covering #01-#44, plus the assessment and planning layer.

Can I use this with Google Classroom?

Yes. The curriculum includes Google-native digital materials and self-graded Google Forms support along with print-friendly alternatives.

Do I have to assign every assessment question?

No. Weekly, unit, and final files are intentionally larger item banks. Select the questions that fit your class period and instructional goals.

Why is there no W12 weekly assessment?

The cumulative Final replaces the ordinary W12 weekly assessment in the standard pacing.

What is the Week 6 application lesson?

Should We Believe This Claim? is a fully student-facing lesson with a worked example and realistic case studies that asks students to judge claims involving p-values, errors, power, and practical importance without difficult computation.

Can this work for sub plans or independent learning?

Yes. Daily guides, student materials, answer support, explicit pacing, and the robust Week 6 application lesson make the sequence adaptable to substitute-led and independent settings.

Does this replace a district's complete mathematics curriculum?

No. This is a structured supplemental Statistics curriculum built around the Crash Course Statistics playlist. Teachers should adapt pacing and assessment use to local standards, course expectations, and school policies.

Is this an official Crash Course product?

No. This independent educator-created resource is not affiliated with, endorsed by, sponsored by, or authorized by Crash Course, Complexly, YouTube, or related rights holders. No Crash Course video clips, screenshots, thumbnails, logos, or transcript files are included or redistributed.