AP®︎ Statistics: Topic 4.8 Flashcards

Master key terms and definitions for Topic 4.8 of AP Statistics – Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Means to help you prep for quizzes and the AP exam.


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Term

Difference Between Two Population Means (μ₁ − μ₂)

Definition

The parameter: population mean for group 1 minus population mean for group 2 for the same quantitative variable

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Difference Between Two Population Means (μ₁ − μ₂)
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The parameter: population mean for group 1 minus population mean for group 2 for the same quantitative variable

4.8.A4.8.A.3
Order Of Subtraction
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Which group is first and which is second in μ₁ − μ₂; it determines the sign and meaning of the interval

4.8.A4.8.A.3
Confidence Interval Interpretation For μ₁ − μ₂
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Based on the samples or randomized experiment, there is C% confidence that the interval from a to b contains the true difference in the population means, in the stated order and context

4.8.A4.8.A.3
Confidence Level
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In repeated random sampling of the same sizes from the same populations, about C% of intervals made by the same method will capture μ₁ − μ₂

4.8.A4.8.A.2
Contains 0 Vs Excludes 0
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If 0 is in the interval, there is insufficient evidence that the population means differ; if 0 is not in the interval, there is convincing evidence that the population means differ

4.8.B4.8.B.1
Direction Of Difference From The Interval
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For an interval estimating μ₁ − μ₂: all positive values support μ₁ > μ₂, all negative values support μ₁ < μ₂, and an interval containing 0 does not give sufficient evidence that the means differ

4.8.B4.8.B.1
Contains 0 Does Not Prove Equality
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Including 0 means equal means are plausible, not that the population means are definitely equal

4.8.B4.8.B.1
Excludes 0 Does Not Prove The Claim
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An interval outside 0 gives convincing evidence of a difference, but not certainty, because the method can miss the true parameter

4.8.B4.8.B.1
Parameter Vs Statistic For Two Means
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μ₁ − μ₂ is the population difference being estimated; x̄₁ − x̄₂ is the sample difference and point estimate

4.8.A4.8.A.3
Equivalent Reversed Interval
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If an interval for μ₁ − μ₂ is (a, b), the equivalent interval for μ₂ − μ₁ is (−b, −a)

4.8.A4.8.A.3
Scope Of Conclusion: Random Samples Vs Random Assignment
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Random samples support generalizing to the sampled populations; random assignment supports cause-and-effect about treatments

4.8.A4.8.A.3
Connection To A Two-Sided Significance Test
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For the same model and standard-error method, a two-sided C% confidence interval excluding 0 matches rejecting H₀: μ₁ − μ₂ = 0 at α = 1 − C/100; including 0 matches failing to reject H₀

4.8.B4.8.B.1
Claim About A Value d
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For an interval estimating μ₁ − μ₂, if d is inside the interval, d is plausible; if d is outside, the interval gives evidence against μ₁ − μ₂ = d

4.8.B4.8.B.1
Practical Importance Vs Statistical Significance
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An interval can show convincing evidence of a difference without showing the difference is large enough to matter in context

4.8.B4.8.B.1