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Statistics curriculum

A statistics course from data collection and visualization through probability, inference, regression, and responsible communication.

High school statistics / AP Statistics / intro college

Statistics curriculum

A statistics course from data collection and visualization through probability, inference, regression, and responsible communication.

Pacing
8 units, 24-32 weeks self-paced
Units
8 unit sequence
Practice
16 checked answers
Support
Self-paced or tutor-guided
Outcomes
  • Design fair data collection plans and recognize bias.
  • Use probability models to reason about uncertainty.
  • Interpret confidence intervals, tests, and regressions without cargo-culting formulas.

Khan Academy companion path

Use these linked courses for video instruction and mastery practice, then return here for PeerTutor original checks and tutor help on the exact unit that got stuck.

External video content is linked, not copied. PeerTutor practice is original and cites each source path separately.

Unit sequence

Built for independent progress first, then tutor support where the student gets stuck.

  1. 01

    Data, variables, and study design

    • Distinguish observational studies, experiments, and surveys.
    • Identify bias, confounding, and sampling problems.

    Practice: Critique a poll and redesign its sampling plan.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Data, variables, and study design"?

    Practice artifact

    Which practice artifact should you produce for "Data, variables, and study design" before asking a tutor for help?

  2. 02

    One-variable data

    • Use histograms, boxplots, center, spread, and outliers.
    • Choose summaries that match distribution shape.

    Practice: Write a complete data description from a real dataset.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "One-variable data"?

    Practice artifact

    Which practice artifact should you produce for "One-variable data" before asking a tutor for help?

  3. 03

    Two-variable data

    • Analyze scatterplots, correlation, and linear regression.
    • Interpret residuals and model limitations.

    Practice: Fit and critique a regression model using residual evidence.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Two-variable data"?

    Practice artifact

    Which practice artifact should you produce for "Two-variable data" before asking a tutor for help?

  4. 04

    Probability foundations

    • Use counting, conditional probability, and independence.
    • Model random processes with rules and simulations.

    Practice: Simulate a probability question and compare it to exact reasoning.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Probability foundations"?

    Practice artifact

    Which practice artifact should you produce for "Probability foundations" before asking a tutor for help?

  5. 05

    Random variables and distributions

    • Use expected value and standard deviation.
    • Apply binomial, geometric, and normal models.

    Practice: Choose the right distribution for mixed word problems and defend it.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Random variables and distributions"?

    Practice artifact

    Which practice artifact should you produce for "Random variables and distributions" before asking a tutor for help?

  6. 06

    Sampling distributions

    • Explain variability across samples.
    • Use the central limit theorem appropriately.

    Practice: Run a sampling simulation and explain what changes with sample size.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Sampling distributions"?

    Practice artifact

    Which practice artifact should you produce for "Sampling distributions" before asking a tutor for help?

  7. 07

    Inference

    • Build and interpret confidence intervals.
    • Run significance tests with conditions and conclusions.

    Practice: Write a full inference response with parameter, conditions, calculation, and context.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Inference"?

    Practice artifact

    Which practice artifact should you produce for "Inference" before asking a tutor for help?

  8. 08

    Projects and communication

    • Build reproducible analyses.
    • Communicate uncertainty honestly.

    Practice: Complete a mini statistical investigation from question to final memo.

    Original practice checks

    Answer in PeerTutor, then use the explanation or bring the miss to a tutor.

    2 checked answers
    Unit readiness

    Which target best matches the Statistics unit "Projects and communication"?

    Practice artifact

    Which practice artifact should you produce for "Projects and communication" before asking a tutor for help?

Source library

These are source links, not scraped course copies. Licenses differ, so the label tells students how each source is used.

View the full citation index