📊 2023 AP Statistics Study Plan and Progress Tracker
Welcome to this plethora of resources that cover everything you need to know for AP Stats! This toolkit is constantly being updated with more resources! AP Statistics is a college-level course where you will learn the major concepts and tools for collecting, analyzing, and drawing conclusions from data.
🚨 All you need to know about the 2023 AP Statistics Exam!
The AP Statistics Exam
A breakdown of the exam content by percentage.
| Unit | Exam Weighting (MCQ) |
|---|---|
| Unit 1: Exploring One-Variable Data | 15%–23% |
| Unit 2: Exploring Two-Variable Data | 5%–7% |
| Unit 3: Collecting Data | 12%–15% |
| Unit 4: Probability, Random Variables, and Probability Distributions | 10%–20% |
| Unit 5: Sampling Distributions | 7%–12% |
| Unit 6: Inference for Categorical Data: Proportions | 12%–15% |
| Unit 7: Inference for Quantitative Data: Means | 10%–18% |
| Unit 8: Inference for Categorical Data: Chi-Square | 2%–5% |
| Unit 9: Inference for Quantitative Data: Slopes | 2%–5% |
Course Skills
By taking AP Statistics, you’ll gain a variety of skills that will help you think and act like a statistician.
| Skill | Description | Exam Weighting (Multiple-Choice Section) |
|---|---|---|
| 1. Selecting Statistical Methods | Select methods for collecting and/or analyzing data for statistical inference. | 15%–23% |
| 2. Data Analysis | Describe patterns, trends, associations, and relationships in data. | 15%–23% |
| 3. Using Probability and Simulation | Explore random phenomena. | 30%–40% |
| 4. Statistical Argumentation | Develop an explanation or justify a conclusion using evidence from data, definitions, or statistical inference. | 25%–35% |
Download our free 2023 AP Stats Study Tracker Notion Template. It's free for all students to use. Track your study progress, rate your confidence levels, and store notes in each study guide page. It's the perfect companion to Fiveable's AP Study Guides
Study Guides for Every Unit
👆 Unit 1 - Exploring One-Variable Data
- 1.0 Unit 1 Overview
- 1.1 Introducing Statistics: What Can We Learn From Data?
- 1.2 The Language of Variation: Variables
- 1.3 Representing a Categorical Variable with Tables
- 1.4 Representing a Categorical Variable with Graphs
- 1.5 Representing a Quantitative Variable with Graphs
- 1.6 Describing the Distribution of a Quantitative Variable
- 1.7 Summary Statistics for a Quantitative Variable
- 1.8 Graphical Representations of Summary Statistics
- 1.9 Comparing Distributions of a Quantitative Variable
- 1.10 The Normal Distribution
- 1.11 Multiple Choice Questions
- 1.12 MC Answers and Review
✌️ Unit 2 - Exploring Two-Variable Data
- 2.0 Unit 2 Overview
- 2.1 Introducing Statistics: Are Variables Related?
- 2.2 Representing Two Categorical Variables
- 2.3 Statistics for Two Categorical Variables
- 2.4 Representing the Relationship Between Two Quantitative Variables
- 2.5 Correlation
- 2.6 Linear Regression Models
- 2.7 Residuals
- 2.8 Least Squares Regression
- 2.9 Analyzing Departures from Linearity
- 2.10 Multiple Choice Questions
- 2.11 MC Answers and Review
🔎 Unit 3 - Collecting Data
- 3.0 Unit 3 Overview
- 3.1 Introducing Statistics: Do the Data We Collected Tell the Truth?
- 3.2 Introduction to Planning a Study
- 3.3 Random Sampling and Data Collection
- 3.4 Potential Problems with Sampling
- 3.5 Introduction to Experimental Design
- 3.6 Selecting an Experimental Design
- 3.7 Inference and Experiments
- 3.8 Multiple Choice Questions
- 3.9 MC Answers and Review
🎲 Unit 4 - Probability, Random Variables, and Probability Distributions
- 4.0 Unit 4 Overview
- 4.1 Introducing Statistics: Random and Non-Random Patterns?
- 4.2 Estimating Probabilities Using Simulation
- 4.3 Introduction to Probability
- 4.4 Mutually Exclusive Events
- 4.5 Conditional Probability
- 4.6 Independent Events and Unions of Events
- 4.7 Introduction to Random Variables and Probability Distributions
- 4.8 Mean and Standard Deviation of Random Variables
- 4.9 Combining Random Variables
- 4.10 Introduction to the Binomial Distribution
- 4.11 Parameters for a Binomial Distribution
- 4.12 The Geometric Distribution
- 4.13 Multiple Choice Questions
- 4.14 MC Answers and Review
📊 Unit 5 - Sampling Distributions
- 5.0 Unit 5 Overview
- 5.1 Introducing Statistics: Why is My Sample Not Like Yours?
- 5.2 The Normal Distribution, Revisited
- 5.3 The Central Limit Theorem
- 5.4 Biased and Unbiased Point Estimates
- 5.5 Sampling Distributions for Sample Proportions
- 5.6 Sampling Distributions for Differences in Sample Proportions
- 5.7 Sampling Distributions for Sample Means
- 5.8 Sampling Distributions for Differences in Sample Means
- 5.9 Multiple Choice Questions
- 5.10 MC Answers and Review
⚖️ Unit 6 - Inference for Categorical Data: Proportions
- 6.0 Unit 6 Overview
- 6.1 Introducing Statistics: Why Be Normal?
- 6.2 Constructing a Confidence Interval for a Population Proportion
- 6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion
- 6.4 Setting up a Test for a Population Proportion
- 6.5 Interpreting P-Values
- 6.6 Concluding a Test for a Population Proportion
- 6.7 Potential Errors When Performing Tests
- 6.8 Confidence Intervals for the Difference of Two Proportions
- 6.9 Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions
- 6.10 Setting Up a Test for the Difference of Two Population Proportions
- 6.11 Carrying Out a Test for the Difference of Two Population Proportions
- 6.12 Multiple Choice Questions
- 6.13 MC Answers and Review
😼 Unit 7 - Inference for Qualitative Data: Means
- 7.0 Unit 7 Overview
- 7.1 Introducing Statistics: Should I Worry About Error?
- 7.2 Constructing a Confidence Interval for a Population Mean
- 7.3 Justifying a Claim About a Population Mean Based on a Confidence Interval
- 7.4 Setting Up a Test for a Population Mean
- 7.5 Carrying Out a Test for a Population Mean
- 7.6 Confidence Intervals for the Difference of Two Means
- 7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval
- 7.8 Setting up a Test for the Difference of Two Population Means
- 7.9 Carrying Out a Test for the Difference of Two Population Means
- 7.10 Skills Focus: Selecting, Implementing, and Communicating Inference Procedures
- 7.11 Multiple Choice Questions
- 7.12 MC Answers and Review
✳️ Unit 8 - Inference for Categorical Data: Chi-Square
- 8.0 Unit 8 Overview
- 8.1 Introducing Statistics: Are My Results Unexpected?
- 8.2 Setting Up a Chi Square Goodness of Fit Test
- 8.3 Carrying out a Chi Square Goodness of Fit Test
- 8.4 Expected Counts in Two Way Tables
- 8.5 Setting up a Chi-Square Test for Homogeneity or Independence
- 8.6 Carrying Out a Chi-Square Test for Homogeneity or Independence
- 8.7 Skills Focus: Selecting an Appropriate Inference Procedure for Categorical Data
- 8.8 Multiple Choice Questions
- 8.9 MC Answers and Review
📈 Unit 9 - Inference for Quantitative Data: Slopes
- 9.0 Unit 9 Overview
- 9.1 Introducing Statistics: Do Those Points Align?
- 9.2 Confidence Intervals for the Slope of a Regression Model
- 9.3 Justifying a Claim About the Slope of a Regression Model Based on a Confidence Interval
- 9.4 Setting Up a Test for the Slope of a Regression Model
- 9.5 Carrying Out a Test for the Slope of a Regression Model
- 9.6 Skills Focus: Selecting an Appropriate Inference Procedure
- 9.7 Multiple Choice Questions
- 9.8 MC Answers and Review
AP Stats FRQs
- ✍🏽 AP Stats FRQ Guide: A point-by-point breakdown of the entire FRQ rubric, thinking process, along with tips, advice, and links to more resources!
Quicklinks
- 💡 How to Get a 5 in AP Statistics: A list of valuable tips to succeed in AP Stats!
- 🏫 AP Statistics Self-Study and Homeschool: Thinking about self-studying or homeschooling AP Statistics? We got you!
- 🤷🏽♂️ Is AP Statistics Hard? Is AP Statistics Worth Taking?: Tips and words of wisdom from a successful AP Statistics student.
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