AP Statistics · Topic 7.5

Carrying Out a Test for a Population Mean Practice

Part of Inference for Quantitative Data: Means.(VAR-7.B)

Practice questions

25

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Sample questions

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  1. Sample 1difficulty 1/5

    For 10 paired differences, x-bar_d = 3.5, s_d = 4.0. Test H0: mu_d = 0 vs Ha: mu_d > 0.

    Pair index Difference 0

    What is the t test statistic?

    • A

      2.77

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    • B

      1.39

    • C

      0.875

    • D

      8.75

    Why

    t = 3.5/(4.0/sqrt(10)) = 3.5/1.265 = 2.77.

  2. Sample 2difficulty 1/5

    Five subjects' before/after weights (lb): (180,178), (200,196), (165,167), (210,205), (175,170).

    Subject Before After 1 180 178 2 200 196 3 165 167 4 210 205 5 175 170

    Using d = before - after, what is the mean difference?

    • A

      1.5

    • B

      5.0

    • C

      -2.8

    • D

      2.8

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    Why

    Differences: 2, 4, -2, 5, 5. Mean = (2+4-2+5+5)/5 = 14/5 = 2.8.

  3. Sample 3difficulty 1/5

    A two-sided t-test of H0: mu = 0 yields t = 1.85 with df = 20. The one-tailed area is 0.039.

    0 two-sided test

    What is the two-sided p-value?

    • A

      0.039

    • B

      0.078

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    • C

      0.961

    • D

      0.020

    Why

    For a two-sided test, p = 2 * (one-tailed area) = 2 * 0.039 = 0.078.

  4. Sample 4difficulty 1/5

    A random sample of 36 bags has a mean weight of 49.4 lb with s = 1.8 lb. Test H0: mu = 50 vs Ha: mu < 50.

    Statistic Value n 36 x-bar 49.4 s 1.8 mu0 50

    What is the value of the t test statistic?

    • A

      -0.33

    • B

      -2.00

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    • C

      -3.33

    • D

      -0.60

    Why

    t = (49.4 - 50)/(1.8/sqrt(36)) = -0.6/0.30 = -2.00.

  5. Sample 5difficulty 2/5

    A test fails to reject H0: mu = 50.

    Software Output test statistic: t degrees of freedom: df p-value: p CI: (L, U)

    The most appropriate conclusion is:

    • A

      mu is exactly 50.

    • B

      There is insufficient evidence to conclude mu differs from 50.

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    • C

      There is strong evidence mu = 50.

    • D

      The test must be repeated.

    Why

    Failing to reject H0 does not prove H0; it indicates lack of sufficient evidence against it.