AP Statistics · Topic 7.6

Confidence Intervals for the Difference of Two Means Practice

Part of Inference for Quantitative Data: Means.(UNC-4.G)

Practice questions

8

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Sample questions

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  1. Sample 1difficulty 1/5

    Two independent samples have n1 = 12, n2 = 20.

    Statistic Value n see stem x-bar see stem s see stem df n - 1

    Which is the conservative degrees of freedom?

    • A

      32

    • B

      11

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    • C

      30

    • D

      19

    Why

    The conservative df is min(n1 - 1, n2 - 1) = min(11, 19) = 11.

  2. Sample 2difficulty 2/5

    Two independent random samples of patients are taken from two large hospitals.

    Group 1 Group 2 Side-by-side comparison

    The independence condition for the two-sample t requires:

    • A

      Equal sample sizes.

    • B

      Equal standard deviations.

    • C

      Both populations to be normal.

    • D

      Independent observations within each sample and between samples.

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    Why

    Standard t requires independence within each sample and between the two samples.

  3. Sample 3difficulty 2/5

    Two independent samples: x-bar1 - x-bar2 = 4.5, SE = 1.5, conservative df = 14, t* = 2.145 for 95%.

    confidence interval L U x-bar

    What is the 95% CI for mu1 - mu2?

    • A

      (2.00, 7.00)

    • B

      (3.00, 6.00)

    • C

      (0.00, 9.00)

    • D

      (1.28, 7.72)

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    Why

    ME = 2.145 * 1.5 = 3.22. CI = 4.5 ± 3.22 = (1.28, 7.72).

  4. Sample 4difficulty 2/5

    A 95% two-sample t-interval for mu1 - mu2 is (-1.2, 3.4).

    confidence interval L U x-bar

    What does this imply about a two-sided test of H0: mu1 = mu2 at alpha = 0.05?

    • A

      Reject H0 because the interval is positive on average.

    • B

      Reject H0 because the interval is wide.

    • C

      Fail to reject H0 because 0 is in the interval.

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    • D

      Cannot determine.

    Why

    Since 0 lies in the 95% CI, the two-sided test at alpha = 0.05 fails to reject H0.

  5. Sample 5difficulty 2/5

    Two-sample t uses the conservative df vs Welch's df.

    0 t-distribution

    Compared to Welch's df, the conservative df produces:

    • A

      a narrower CI

    • B

      the same CI exactly

    • C

      a smaller p-value

    • D

      a wider CI / larger p-value (more conservative)

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    Why

    Smaller df gives a larger t* and a larger upper-tail probability, hence a wider CI/larger p.