# 📊 2023 AP Statistics Study Plan

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.

## 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% |

## 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.

We have over 250 **replays, slide decks, and study guides** for AP Stats on our website! Go on and get that 5!

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