Think About It

  1. 27. H0: μ ≤ 10 mm vs Ha: μ > 10.

  2. 29. Type II error

  3. 31.

    1. ¼.

    2. 9/16.

  4. 33.

    1. 1/212 ≈ 0.00024

    2. Type I error, false positive

    3. 1 − 0.9512 ≈ 0.46

    4. Type II error, false negative

  5. 35. The sample size was too large; a smaller sample would have shown statistical significance.

  6. 37.

    1. H0: μ ≤ 200.

    2. More than 249.

    3. About 5/6.

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