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AP® Statistics · Unit 3 · Topic 3.8

Potential Errors When Performing Tests: Topic Checklist (Statistics 3.8)

Specific “I can…” statements for Type I and Type II errors, α, power and the factors that affect them, each linked to the guide section and practice question that tests it.

Work through the list without notes. If you cannot do a statement, follow its link, then come back. Guide = study guide; Practice = practice questions.

Understanding

  • I can draw the four-outcome table and say which cells are correct decisions and which are errors. (Guide: “Why a test can be wrong”; Practice Q1)
  • I can define power as the probability of correctly rejecting a false H₀, for a stated true value. (Guide: “The probability of each error”)
  • I can explain why, after a decision, only one type of error is possible. (Guide: “Type I and Type II errors”; Practice Q6)
  • I can explain why α and the sample size should be chosen before collecting data. (Guide: “Consequences decide the design”; Practice Q7)

Calculation

  • I can state that P(Type I error) = α. (Practice Q5)
  • I can find P(Type II error) as 1 − power. (Guide: Worked example 2; Practice Q2, Q5)
  • I can use a table of power values to compare study designs. (Guide: Worked example 2)

Reasoning

  • I can describe a Type I error and a Type II error in context, giving both the conclusion and the truth. (Guide: Worked example 1; Practice Q4)
  • I can interpret a power value in context. (Practice Q5, Q7)
  • I can predict how changing n, the standard error, the true value or α affects the power and the Type II error probability. (Guide: “What affects the power”; Practice Q3, Q5)
  • I can describe a consequence of each error and decide which is more serious. (Guide: Worked example 1; Practice Q4, Q7)
  • I can use the more serious error to justify a choice of α or of sample size. (Practice Q4(c), Q7(b))

All ticked? Move on to Topic 3.9, Sampling Distributions for the Difference Between Sample Proportions, or return to the course roadmap.

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