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Introduction to Statistics Plans

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Free Lesson Plans

Intro Statistics Units

The Math Medic Intro Statistics course is a two-semester course with the intention of giving students experience with the statistical problem-solving process of (1) formulating a statistical investigative question, (2) collecting or considering data, (3) analyzing data, and (4) interpreting results. Compared to AP Statistics, this course is more scaffolded, utilizes a more relaxed pace, and does not cover as much content.

We have ready-to-be-taught lessons for each day of the school year, with perfect alignment to the textbook Statistics and Probability with Applications (4e).

1
Unit 1: Analyzing One-Variable Data
  • Learn to display and interpret categorical and quantitative data (dotplots, stemplots, histograms)
  • Develop measures of center (mean, median) and variability (range, IQR, standard deviation)
  • Explore boxplots and identify outliers in datasets
  • Practice analyzing data through multiple visual and numerical summaries
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2
Unit 2: Modeling One-Variable Data
  • Use percentiles and z-scores to describe locations in distributions.
  • Transform data to examine effects on center and spread.
  • Understand and apply normal distribution concepts and the empirical rule.
  • Use technology to calculate areas and values under a normal curve.
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3
Unit 3: Analyzing Two-Variable Data
  • Analyze relationships between categorical and quantitative variables using graphs and context.
  • Study correlation and regression, including least-squares regression lines.
  • Assess linear models using residuals and interpret slope and intercept.
  • Apply statistical tools through real-world context (e.g., Barbie Bungee activity).
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4
Unit 4: Collecting Data
  • Learn the difference between sampling methods and types of bias.
  • Design and interpret observational studies and experiments.
  • Understand inference in the context of data collection.
  • Apply concepts through a multi-day Anchored Putting simulation and review.
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5
Unit 5: Probability
  • Explore randomness and conduct simulations to estimate probability.
  • Apply rules of probability using two-way tables, Venn diagrams, and conditional probabilities.
  • Use multiplication rules for independent events, permutations, and combinations.
  • Solve compound probability problems and interpret real-world contexts.
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6
Unit 6: Random Variables
  • Distinguish between discrete and continuous random variables.
  • Analyze binomial distributions and calculate expected values.
  • Use normal approximations for binomial distributions when appropriate.
  • Apply concepts through calculations and cumulative review.
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7
Unit 7: Sampling Distributions
  • Define and identify sampling distributions of sample proportions and means.
  • Examine how sample size affects center and variability of distributions.
  • Apply the Central Limit Theorem to justify normal approximations.
  • Use simulations and activities (e.g., Reese's Pieces) to reinforce learning.
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8
Unit 8: Estimating a Parameter
  • Construct and interpret confidence intervals for proportions and means.
  • Analyze margin of error and sample size impacts.
  • Use formulas and conditions to estimate population parameters.
  • Practice applying the four-step statistical process for estimation.
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9
Unit 9: Testing a Claim
  • Understand the logic and language of significance tests.
  • Conduct significance tests for proportions and means.
  • Use p-values and context to make decisions about hypotheses.
  • Reinforce understanding with structured four-step practice.
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10
Unit 10: Comparing Two Populations or Treatments
  • Estimate and test claims about differences between proportions and means.
  • Analyze paired data and interpret mean differences in context.
  • Use quizzes and review activities to synthesize comparisons.
  • Apply statistical methods to real data collection and analysis.
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11
Unit 11: Inference for Distributions and Relationships
  • Conduct chi-square tests for goodness-of-fit and association.
  • Analyze relationships between categorical variables using contingency tables.
  • Estimate and test claims about regression line slopes.
  • Review inference techniques across different data types and contexts.
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Additional Resources

Complete Your Curriculum With Assessments

While lesson plans are always free, we also offer editable homework, quizzes, and tests that fit perfectly with the curriculum. Our Assessment Platform allows teachers to adapt assessments to their needs and deliver them digitally or on-paper.

We currently do not have Intro Statistics assessments but do offer AP Statistics assessments which can be modified for use in Intro Statistics classes.

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Comprehensive Curriculum

Math Medic offers a full curriculum—every unit, every lesson, from start to finish. While others may provide isolated activities, Math Medic delivers a cohesive, day-by-day course structure that’s ready to use. Lessons are free, while homework, quizzes, and tests are available as add-on subscriptions.

Discovery-Based Learning

Our lessons follow a discovery-based lesson model where students actively explore and guide the learning process. Instead of traditional lectures, teachers facilitate conversations and help students connect their discoveries to key concepts and standards. It’s a student-centered approach built for teachers who want to engage learners through inquiry and interaction.

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Math Medic was created by high school math teachers who understand the realities of the classroom. This isn’t a polished product from a publishing company—it’s a resource developed by your peers. Think of us as another member of your math department, not an outsider writing from a distance.

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