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Material Type: Exam; Professor: Dixon; Class: STATISTICAL METHODS; Subject: STATISTICS; University: Iowa State University; Term: Fall 2007;
Typology: Exams
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Please put your name on the back of your answer book. Do NOT put it on the front. Thanks.
Group ni Gini coefficient s.e. for-profit 20 0.672 0. non-profit 20 0.457 0. difference 0.215 0.
The investigators computed a randomization distribution with 99 values. Here are the 10 smallest and 10 largest values in the randomization distribution: -0.456 -0.356 -0.273 -0.257 -0.231 -0.210 -0.198 -0.157 -0.152 -0.143 · · · 0.171 0.172 0.181 0. 0.239 0.248 0.263 0.357 0.440 0. They also computed a bootstrap distribution with 100 values. Here are the 10 smallest and 10 largest values in that distribution. -0.173 -0.171 -0.168 -0.150 -0.143 -0.141 -0.135 -0.130 -0.127 -0.113 · · · 0.554 0.555 0.568 0. 0.608 0.642 0.717 0.745 0.786 0. a) 5 pts. Calculate an appropriate design-based 90% confidence interval for the difference between the Gini coefficients between for-profit and non-profit hospitals in the United States. If you need additional information, indicate what is needed. b) 5 pts. Is it reasonable to extrapolate from the 40 hospitals in the study to all for-profit and all non-profit hospitals in the United States? Briefly explain why or why not.
Y (^) A. Y (^) B. Y (^) C. s^2 A s^2 B s^2 C s^2 p 3.10 2.00 2.00 1.2 1.2 0.6 1.
The investigators are especially interested in the difference between treatments A and B. They test Ho: μA − μB = 0 using a linear contrast, the pooled error variance, and a T distribution. The p-value is 0.039. Each item in the following list identifies one change in the experimental design or data. Each item on the list may affect the p-value for the test of Ho: μA − μB = 0. Tell me whether the p- value will INCREASE (become less significant), DECREASE (become more significant), NOT CHANGE, or you CAN’T TELL. You DO NOT need to calculate or report the new p-value(s). No explanation needed.
(a) Decrease the number of replicates (e.g. from 8 to 4 e.u.s per treatment) (b) Increase the sample variance (s^2 p) (c) Decrease the sample average for treatment A from 3.10 to 2. (d) Increase the number of treatments (e.g. from 3 to 5). The number of replicates per e.u. is not changed.
The following are changes to the test. Tell me whether the p-value for the new test will INCREASE (become less significant), DECREASE (become more significant), NOT CHANGE, or you CAN’T TELL, compared to the original test. Again, you DO NOT need to report the new p-value(s).
(e) Test Ho: μA − μB = 1. (f) Test Ho: μA − (μB + μC )/2 = 0 (g) Test Ho: μA − μB = 0 using a Tukey multiple comparisons adjustment. (h) Test Ho: μA − μB = 0 using an unequal variance (Welch) t-test.
Treatment # species location average s.d. 1 control 91.8 1. 2 E. angustifolia A 79.2 2, 3 E. angustifolia B 74.4 3. 4 E. angustifolia C 79.4 3. 5 E. purpurea D 29.8 9. 6 E. purpurea E 23.8 4. 7 E. purpurea F 28.4 4.
(a) 10 pts. Complete the ANOVA table Source d.f. SS MS Treatments Error 17. Total 25271.
(b) 5 pts. Test Ho: all treatments have the same mean. Report your test statistic and an approximate p-value. Provide an appropriate one sentence conclusion. (c) 8 pts. What is the observational unit in this study? What is the experimental unit?
The investigators chose the treatments because they are interested in three questions: a) What is the difference between the control and the average of the 6 Echinacea treatments? b) What is the difference between the two Echinacea species, averaged over locations? c) Are there differences between locations within species?
(d) 6 pts. Estimate the difference between the two Echinaceae species averaged over locations. Estimate the s.e. of this difference. What d.f. is associated with this s.e.? (e) 4 pts. Both questions a) and b) above can be answered by linear contrasts. Are those contrasts orthogonal? Explain why or why not. (f) 5 pts. The investigator’s question c, “Are there differences between locations within species?” is a comparison between locations A, B, and C, and between locations D, E, and F. Use the available information to provide the most appropriate answer. Report your test statistic (or statistics) and p-value(s). If there is insufficient information, indicate what additional information you need. (g) 5 pts. Is the assumption of independence appropriate here? Explain why or why not. (h) 5 pts. A residual plot for these data is shown at the end of the SAS outout. Is it appropriate to log transform the data? Explain why or why not.
data pge; infile ...; input trt pge2; proc glm; class trt; model pge2 = trt; lsmeans trt / stderr pdiff adjust=tukey; estimate ’1 vs ave. of rest’ trt 6 -1 -1 -1 -1 -1 -1 / divisor=6; contrast ’1 vs ave. of rest’ trt 6 -1 -1 -1 -1 -1 -1; contrast ’ave. of 2,3,4 - ave. of 5,6,7’ trt 0 1 1 1 -1 -1 -1; contrast ’2 - 3’ trt 0 1 -1 0 0 0 0; contrast ’2 - 4’ trt 0 1 0 -1 0 0 0; contrast ’3 - 4’ trt 0 0 1 -1 0 0 0; contrast ’5 - 6’ trt 0 0 0 0 1 -1 0; contrast ’5 - 7’ trt 0 0 0 0 1 0 -1; contrast ’6 - 7’ trt 0 0 0 0 0 1 -1; title ’Echinaceae PGE2 assay’; run; Echinaceae PGE2 assay Class Level Information
Class Levels Values trt 7 1 2 3 4 5 6 7
Number of Observations Read 35 Number of Observations Used 35
Part of the output deleted
Least Squares Means Adjustment for Multiple Comparisons: Tukey
Standard trt pge2 LSMEAN Error Pr > |t| 1 91.8000000 1.8852813 <. 2 79.2000000 1.8852813 <. 3 74.4000000 1.8852813 <. 4 74.0000000 1.8852813 <. 5 29.8000000 1.8852813 <. 6 23.8000000 1.8852813 <. 7 28.4000000 1.8852813 <.