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Unit 6 of 9

Inference for Categorical Data: Proportions

This unit introduces statistical inference — the process of drawing conclusions about population parameters from sample data. Students learn to construct confidence intervals and conduct hypothesis tests for population proportions and differences in proportions using the z-distribution.

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UnitsLessons
  1. 03Collecting Data7
  2. 04Probability, Random Variables, and Probability Distributions12
  3. 05Sampling Distributions8
  4. 06Inference for Categorical Data: Proportions11
  5. 07Inference for Quantitative Data: Means9
  6. 08Inference for Categorical Data: Chi-Square6
  7. 09Inference for Quantitative Data: Slopes5
2 more units in the course outline
Units of AP® Statistics

Lessons

11 lessons in this unit

  1. 6.1Introducing Statistics: Why Be Normal?Preview lesson
  2. 6.2Constructing a Confidence Interval for a Population ProportionPreview lesson
  3. 6.3Justifying a Claim Based on a Confidence Interval for a Population ProportionPreview lesson
  4. 6.4Setting Up a Test for a Population ProportionPreview lesson
  5. 6.5Interpreting p-ValuesPreview lesson
  6. 6.6Concluding a Test for a Population ProportionPreview lesson
  7. 6.7Potential Errors When Performing TestsPreview lesson
  8. 6.8Confidence Intervals for the Difference of Two ProportionsPreview lesson
  9. 6.9Justifying a Claim Based on a Confidence Interval for a Difference of Population ProportionsPreview lesson
  10. 6.10Setting Up a Test for the Difference of Two Population ProportionPreview lesson
  11. 6.11Carrying Out a Test for the Difference of Two Population ProportionsPreview lesson

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