AP®︎ Statistics (pre-2026) Unit 6: Notes & Study Guide
Prepare for your quiz, test, or the AP exam with a comprehensive review on Unit 6 of AP Statistics (pre-2026) – Inference for Categorical Data: Proportions.
Unit 6: Inference for Categorical Data: Proportions
How to build confidence intervals and run significance tests for population proportions.
Begin with Topic 6.1: Introducing Statistics: W...To review Unit 6, go through each of the 11 topics below.
Everything you actually need to know for your Unit 6 test, pulled directly from the AP® Statistics (pre-2026) curriculum.
Introducing Statistics: Why Be Normal?
Introducing Statistics: Why Be Normal?
- Random vs Non‑Random Variation in Distribution Shapes
- What Questions Should You Ask When Shapes Differ?
- Sampling Distributions and Being “Normal”
Constructing a Confidence Interval for a Population Proportion
Constructing a Confidence Interval for a Population Proportion
- The One-Sample z-Interval for a Population Proportion
- Conditions for Inference
- How to Construct the Interval
Justifying a Claim Based on a Confidence Interval for a Population Proportion
Justifying a Claim Based on a Confidence Interval for a Population Proportion
- What a Confidence Interval for a Population Proportion Means
- How to Correctly Interpret a Confidence Interval
- Using a Confidence Interval to Justify a Claim
Setting Up a Test for a Population Proportion
Setting Up a Test for a Population Proportion
- What a One-Sample z-Test for a Population Proportion Is
- Writing Hypotheses for a Population Proportion
- Conditions for a One-Proportion z-Test
Interpreting p-Values
Interpreting p-Values
- What a p-Value Is
- The z-Test Statistic for a Population Proportion
- Finding the p-Value from the z-Statistic
Concluding a Test for a Population Proportion
Concluding a Test for a Population Proportion
- What It Means to Conclude a Significance Test for a Population Proportion
- The Significance Level α and the Decision Rule
- What the p-Value Is Actually Telling You
Potential Errors When Performing Tests
Potential Errors When Performing Tests
- What Type I and Type II Errors Are
- Alpha, Beta, and Power
- What Affects Type II Error and Power
Confidence Intervals for the Difference of Two Proportions
Confidence Intervals for the Difference of Two Proportions
- Confidence Interval for the Difference of Two Proportions
- Conditions for Inference
- How the Interval Is Built
Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions
Justifying a Claim Based on a Confidence Interval for a Difference of Population Proportions
- What a Confidence Interval for \( p_1 - p_2 \) Tells You
- How to Correctly Interpret the Interval
- Using the Interval to Justify a Claim
Setting Up a Test for the Difference of Two Population Proportion
Setting Up a Test for the Difference of Two Population Proportion
- What a two‑proportion z‑test is for
- Writing hypotheses correctly
- Choosing the correct test
Carrying Out a Test for the Difference of Two Population Proportions
Carrying Out a Test for the Difference of Two Population Proportions
- What a Two-Proportion z-Test Is
- Hypotheses and Conditions
- Calculating the Test Statistic
Notes
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