Unformatted text preview: : µ ≠ 105. A significance test to answer this question was carried out. The test statistic is z = –0.3336, and the P-value is 0.74. 1. Describe what a Type I error would be in this situation. 2. Calculate the probability of a Type I error for this problem. 3. The researchers who carried out the study suspect that the large P-value is due to low power. First determine the probability of a Type II error when in fact µ = 100. Then compute the power of the test against the alternative. 4. If the sample size is increased to n = 30, what will be the power against the alternative, µ = 100? (Use the back of this sheet if you need extra space.) Chapter 10 Quiz 10.4B...
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- Spring '09
- Statistics, 10%, Statistical hypothesis testing, invisible gas radon, radon detectors