Tian2 田二
Library AP Statistics Unit 6: Inference for Categorical Data: Proportions
⁂   AP Statistics · Unit 6

6. Inference for Categorical Data: Proportions

12–15% of the AP exam. Key topics: One-sample z-interval for a population proportion p, One-sample z-test for a population proportion p, Two-sample z-interval for a difference in proportions p₁ − p₂, Two-sample z-test for a difference in proportions p₁ − p₂, Conditions for inference: Random, 10%, Large Counts (np̂ ≥ 10 and n(1−p̂) ≥ 10), Four-step inference procedure: State, Plan, Do, Conclude, Interpreting confidence levels and confidence intervals in context, Interpreting p-values in context, Type I error (false positive) and Type II error (false negative), Power of a test: definition and factors that affect it, Factors affecting width of confidence intervals.

12–15% exam weight standard track

Unit 6: Inference for Categorical Data: Proportions

Study guide content for this unit is being prepared. Check back soon for complete lesson notes, formula sheets, and worked examples.

Topics in this unit

  • One-sample z-interval for a population proportion p
  • One-sample z-test for a population proportion p
  • Two-sample z-interval for a difference in proportions p₁ − p₂
  • Two-sample z-test for a difference in proportions p₁ − p₂
  • Conditions for inference: Random, 10%, Large Counts (np̂ ≥ 10 and n(1−p̂) ≥ 10)
  • Four-step inference procedure: State, Plan, Do, Conclude
  • Interpreting confidence levels and confidence intervals in context
  • Interpreting p-values in context
  • Type I error (false positive) and Type II error (false negative)
  • Power of a test: definition and factors that affect it
  • Factors affecting width of confidence intervals