AP Statistics, one topic at a time

AP Statistics score calculator: enter your section results and see an estimated 1–5 score.

1. Unit 1 · 20–30%

   Exploring One-Variable Data and Collecting Data

   Introducing Statistics: What Can We Learn from Data? · Variables · Tabular Representation and Summary Statistics for One Categorical Variable · Graphical Representations for One Categorical Variable · Graphical Representations for One Quantitative Variable · Descriptions for One Quantitative Variable Distributions · Summary Statistics for One Quantitative Variable · Graphical Representations of Summary Statistics for One Quantitative Variable · Comparisons of the Distributions for One Quantitative Variable · The Investigative Question Revisited and Data Collection · Random Sampling · Potential Problems with Sampling · Experimental Design

2. Unit 2 · 15–25%

   Probability, Random Variables, and Probability Distributions

   Tabular and Graphical Representations for the Distributions of Two Categorical Variables · Summary Statistics for Two Categorical Variables · Estimating Probabilities Using Simulation · Introduction to Probability · Mutually Exclusive Events · Conditional Probability · Independent Events and Unions of Events · Introduction to Random Variables and Probability Distributions · Parameters of Random Variables · The Binomial Distribution · The Normal Distribution · Sampling Distributions and the Central Limit Theorem

3. Unit 3 · 15–25%

   Inference for Categorical Data: Proportions

   Estimators · Sampling Distributions for Sample Proportions · Constructing a Confidence Interval for a Population Proportion · Justifying a Claim Based on a Confidence Interval for a Population Proportion · Setting Up a Test for a Population Proportion · p-Values · Carrying Out a Test for a Population Proportion · Potential Errors When Performing Tests · Sampling Distributions for the Difference Between Sample Proportions · Constructing a Confidence Interval for the Difference Between Two Population Proportions · Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Proportions · Setting Up a Test for the Difference Between Two Population Proportions · Carrying Out a Test for the Difference Between Two Population Proportions · Setting Up a Chi-Square Test for Homogeneity or Independence · Carrying Out a Chi-Square Test for Homogeneity or Independence

4. Unit 4 · 10–20%

   Inference for Quantitative Data: Means

   Sampling Distributions for Sample Means · Constructing a Confidence Interval for a Population Mean or Population Mean Difference · Justifying a Claim Based on a Confidence Interval for a Population Mean or Population Mean Difference · Setting Up a Test for a Population Mean or Population Mean Difference · Carrying Out a Test for a Population Mean or Population Mean Difference · Sampling Distributions for the Difference Between Two Sample Means · Constructing a Confidence Interval for the Difference Between Two Population Means · Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Means · Setting Up a Test for the Difference Between Two Population Means · Carrying Out a Test for the Difference Between Two Population Means

5. Unit 5 · 10–20%

   Regression Analysis

   Graphical Representations Between Two Quantitative Variables · Correlation · Linear Regression Models · Residuals · Least-Squares Regression

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