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Free AP Statistics Lesson Plans

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Free Lesson Plans

Math Medic AP Statistics Units

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Our AP Statistics curriculum provides everything you need to guide students through the major concepts of the subject and covers everything in the College Board Course and Exam Description (CED). Each lesson is built using the Experience First, Formalize Later (EFFL) format, which helps students develop statistical reasoning through hands-on exploration before solidifying their understanding with formal instruction.

This curriculum covers data analysis, probability, sampling distributions, and statistical inference. Every unit includes structured lesson plans, practice problems, quizzes, and assessments to prepare students for the AP exam.

  • 1
    Unit 1: Analyzing Data

    • Analyzing categorical data
    • Representing categorical data
    • Describing quantitative data
    • Measuring variability
    • Comparing quantitative data
  • 2
    Unit 2: Modeling Data

    • Percentile
    • Location in a distribution
    • Linear transformations of quantitative data
    • Normal distributions and the empirical rule
    • Normal distribution calculations
  • 3
    Unit 3: Two-Variable Data

    • Scatterplots
    • Correlation
    • Making predictions
    • Residual plots
    • Outliers, high-leverage, and influential points
    • Transforming non-linear data
    • Choosing the best model
  • 4
    Unit 4: Collecting Data

    • Simple random sample
    • Stratified random samples
    • Cluster and systematic samples
    • Potential problems with sampling
    • Observational studies and experiments
    • Designing experiments
    • Selecting an experimental design
    • Inference and experiments
    • Scope of inference
  • 5
    Unit 5: Probability

    • Introducing probability
    • Simulation
    • Rules for probability
    • The addition rule
    • Conditional probability and independence
    • Tree diagrams
  • 6
    Unit 6: Random Variables

    • Discrete random variables
    • Continuous random variables
    • Transforming random variables
    • Combining random variables
    • Introduction to binomial distributions
    • Parameters for binomial distributions
    • Conditions for inference
    • The geometric distribution
  • 7
    Unit 7: Sampling Distributions

    • Sampling distributions
    • Bias and variability
    • Sample proportions
    • Differences in sample proportions
    • Sample means
    • The central limit theorem
    • Differences in sample means
  • 8
    Unit 8: Confidence Intervals for Proportions

    • Interpreting a confidence interval
    • Interpreting a confidence level
    • Constructing a confidence interval for a proportion
    • Confidence intervals for a difference of proportions
  • 9
    Unit 9: Significance Tests for Proportions

    • Introduction to significance tests
    • Conditions and p-value
    • Significance tests for a proportion
    • Significance tests for a difference of proportions
    • Type I and Type II errors
    • Power of a test
  • 10
    Unit 10: Confidence Intervals for Means

    • Confidence intervals for a mean
    • Confidence intervals for a difference of means
    • Confidence intervals for a mean difference
  • 11
    Unit 11: Significance Tests for Means

    • Significance tests for a mean
    • Significance tests for a difference of means
    • Significance tests for a mean difference
  • 12
    Unit 12: Chi-Square Tests

    • Introduction to chi-square tests
    • Chi-square test for goodness of fit
    • Chi-square test for homogeneity
    • Chi-square test for independence
  • 13
    Unit 13: Inference for Slopes

    • Sampling distribution of slope
    • Confidence interval for slope
    • Significance tests for slope
  • 14
    Unit 14: AP Statistics Exam Review

    • 21 days of structured review coursework
    • Flashcards
    • Practice exam
    • Exam tips
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  • Comprehensive Curriculum

    Math Medic is an all-in-one package for your classroom. We provide a day-by-day schedule with all the supplemental materials you need. The lessons are free, while homework, quizzes, and tests are available as add-on services.

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    We use a discovery- or inquiry-based lesson model that uses activities to enable students to guide the lessons. Teachers don’t lecture but respond to the students.

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