AP®︎ Statistics: Topic 3.5 Flashcards

Master key terms and definitions for Topic 3.5 of AP Statistics – Setting Up a Test for a Population Proportion to help you prep for quizzes and the AP exam.


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Term

One-Sample z-Test for a Population Proportion

Definition

Appropriate test for a claim about the proportion of successes in one population, using one sample and a categorical response classified as success/failure

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One-Sample z-Test for a Population Proportion
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Appropriate test for a claim about the proportion of successes in one population, using one sample and a categorical response classified as success/failure

3.5.A3.5.A.1
Population Proportion Parameter (p)
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The true population proportion of individuals classified as successes

3.5.A3.5.A.2
Null Hypothesis (H₀)
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Statement about the population proportion assumed true unless the sample gives convincing evidence otherwise; status quo

3.5.B3.5.B.1
Alternative Hypothesis (Hₐ)
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Statement about the population proportion describing the departure from H₀ that the evidence is meant to support

3.5.B3.5.B.1
Null Hypothesized Value (p₀)
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The specified population proportion in H₀: p = p₀

3.5.B3.5.B.3
Two-Sided Alternative
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Alternative hypothesis p ≠ p₀, used when the question asks whether the proportion is different in either direction

3.5.B3.5.B.3
Lower-Tailed Alternative
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Hₐ: p < p₀; used when the question asks whether the population proportion is less than the null value

3.5.B3.5.B.3
Upper-Tailed Alternative
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Hₐ: p > p₀; used when the question asks whether the population proportion is greater than the null value

3.5.B3.5.B.3
Equality in the Null Hypothesis
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In AP Statistics, even for a one-sided test, write the null as H₀: p = p₀ and test at the equality boundary

3.5.B3.5.B.2
Randomization Condition
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Data must come from a random sample from the population of interest

3.5.C3.5.C.1.i
10% Condition
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When sampling without replacement, population size must satisfy N ≥ 10n so observations are approximately independent

3.5.C3.5.C.1.ii
Normality Condition
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Under H₀, the expected counts np₀ and n(1 − p₀) must both be at least 10

3.5.C3.5.C.1.iii
Parameter in Context
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Define p by naming the population, the success outcome or response variable, and that p is a population proportion

3.5.A3.5.A.2