AP Statistics curriculum & tutors

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A current AP Statistics sequence covering data collection, one-variable analysis, probability, random variables, inference for proportions and means, chi-square methods, and regression.

5 public curriculum units1 tutor availableAlways Free
AP Statistics / introductory college statistics

AP Statistics curriculum

A current AP Statistics sequence covering data collection, one-variable analysis, probability, random variables, inference for proportions and means, chi-square methods, and regression.

Pacing
5 units, 24-34 weeks self-paced
Units
5 unit sequence
Practice
400 checked answers
Support
Self-paced or tutor-guided
Outcomes
  • Select defensible methods for collecting, displaying, and analyzing data.
  • Use probability and simulation to quantify uncertainty and sampling variability.
  • Write AP-ready inference conclusions with parameters, conditions, evidence, and context.

Video companion links

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Unit sequence

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  1. 01

    Exploring one-variable data and collecting data

    • Represent and compare categorical and quantitative distributions using appropriate summaries.
    • Design random samples and experiments while identifying bias, confounding, and limits to inference.

    Practice: Audit a real survey or experiment, redesign its collection plan, and write a complete one-variable data description.

  2. 02

    Probability, random variables, and probability distributions

    • Use simulation, conditional probability, independence, and unions of events.
    • Analyze discrete random variables plus binomial and normal distributions.

    Practice: Solve a probability model exactly, verify it with a simulation plan, and state the assumptions.

  3. 03

    Inference for categorical data: proportions

    • Use sampling distributions, confidence intervals, and significance tests for one and two proportions.
    • Apply chi-square tests for homogeneity and independence when conditions hold.

    Practice: Write a complete proportion or chi-square inference response with conditions, calculation, conclusion, and error interpretation.

  4. 04

    Inference for quantitative data: means

    • Use t procedures for one mean, paired means, and differences between means.
    • Interpret confidence, significance, power, and Type I and Type II errors in context.

    Practice: Choose and carry out a mean-based inference procedure, then defend why the method and conditions fit.

Need the complete source list and remaining units? Open the full AP Statistics curriculum.

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