| PUAF 610 |
Quantitative Methods in Policy Analysis |
Fall 2007 |
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Problem Set #6 |
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1. |
Use the milkaukee.xls data set to reproduce the analyses that were presented in the class notes: |
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A. |
Compare the average reading scores of Choice students in 1991 to the national average. State null and alternative hypotheses, test the null hypothesis, compute the corresponding p value, and give your conclusions in plain English. |
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| B. | Compare the average reading scores of students in the Choice program to those of low-income students in the MPS sample in 1991. State null and alternative hypotheses, test the null hypothesis, compute the corresponding p value, and give your conclusions in plain English. | ||
| 2. | Use the welfare.xls dataset to answer the following questions about the participants in the Arkansas welfare-to-work experiment: |
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| A. | Did the experimental group have a higher average income than the control group in the second year (earn5+earn6+earn7+earn8)? State null and alternative hypothesis, test the null hypothesis, compute the corresponding p value, and give your conclusions in plain English. | ||
| B. | Did the experimental group have a higher average increase in income than the control group in the second year (earn5+earn6+earn7+earn8) compared to the prior year (pearn4+pearn3+pearn2+pearn1)? State null and alternative hypothesis, test the null hypothesis, compute the corresponding p value, and give your conclusions in plain English. | ||
| 3. | In response to studies showing that people who worked with benzene had 20 times the incidence of leukemia, OSHA lowered the maximum permissible average concentration in the workplace to 1 ppm. Suppose that 16 air samples are collected in a steel plant over a period of 1 month, and that the mean benzene concentration is 0.7 ppm (s = 0.8 ppm). Based on the sample, what is the probability that the plant is in compliance? in violation? |
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