AP®︎ Statistics (pre-2026) Unit 5: Notes & Study Guide
Prepare for your quiz, test, or the AP exam with a comprehensive review on Unit 5 of AP Statistics (pre-2026) – Sampling Distributions.
Unit 5: Sampling Distributions
As you build understanding of sampling distributions, you'll lay the foundation for estimating characteristics of a population and quantifying confidence.
Begin with Topic 5.1: Introducing Statistics: W...To review Unit 5, go through each of the 8 topics below.
Everything you actually need to know for your Unit 5 test, pulled directly from the AP® Statistics (pre-2026) curriculum.
Introducing Statistics: Why Is My Sample Not Like Yours?
Introducing Statistics: Why Is My Sample Not Like Yours?
- What a Sampling Distribution Is
- Parameters vs. Statistics
- Why My Sample Is Not Like Yours
The Normal Distribution, Revisited
The Normal Distribution, Revisited
- The Normal Distribution
- Z-Scores and the Standard Normal Model
- Finding Values from a Given Area
The Central Limit Theorem
The Central Limit Theorem
- What a Sampling Distribution Is
- The Central Limit Theorem
- Using the CLT for Probabilities About a Mean
Biased and Unbiased Point Estimates
Biased and Unbiased Point Estimates
- What a Point Estimator Is
- What It Means for an Estimator to Be Unbiased
- Bias vs Variability
Sampling Distributions for Sample Proportions
Sampling Distributions for Sample Proportions
- What a Sampling Distribution of p̂ Is
- Mean and Standard Deviation of p̂
- When the Sampling Distribution Is Approximately Normal
Sampling Distributions for Differences in Sample Proportions
Sampling Distributions for Differences in Sample Proportions
- What the sampling distribution of \( \hat p_1 - \hat p_2 \) is
- When the distribution is approximately normal
- Shape, Center, and Spread Summary
Sampling Distributions for Sample Means
Sampling Distributions for Sample Means
- What the Sampling Distribution of x̄ Is
- Mean and Standard Deviation of x̄
- When the Sampling Distribution Is Normal
Sampling Distributions for Differences in Sample Means
Sampling Distributions for Differences in Sample Means
- The Sampling Distribution of \( \bar{x}_1 - \bar{x}_2 \)
- Shape of the Sampling Distribution
- Sampling With and Without Replacement
Notes
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