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Unit 5 of 9

Sampling Distributions

This unit develops the concept of sampling distributions and the Central Limit Theorem — the theoretical foundation for all statistical inference. Students learn how sample statistics vary from sample to sample and what that variability tells us about population parameters.

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UnitsLessons
  1. 02Exploring Two-Variable Data9
  2. 03Collecting Data7
  3. 04Probability, Random Variables, and Probability Distributions12
  4. 05Sampling Distributions8
  5. 06Inference for Categorical Data: Proportions11
  6. 07Inference for Quantitative Data: Means9
  7. 08Inference for Categorical Data: Chi-Square6
2 more units in the course outline
Units of AP® StatisticsFull outline

Lessons

8 lessons in this unit

  1. 5.1Introducing Statistics: Why Is My Sample Not Like Yours?Preview lesson
  2. 5.2The Normal Distribution, RevisitedPreview lesson
  3. 5.3The Central Limit TheoremPreview lesson
  4. 5.4Biased and Unbiased Point EstimatesPreview lesson
  5. 5.5Sampling Distributions for Sample ProportionsPreview lesson
  6. 5.6Sampling Distributions for Differences in Sample ProportionsPreview lesson
  7. 5.7Sampling Distributions for Sample MeansPreview lesson
  8. 5.8Sampling Distributions for Differences in Sample MeansPreview lesson

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