Secretary of State Roxana Tillerson is worried about malpractice at the 4 processing centers for Green Cards in the country. Green Card applications are given a grade g on a scale 0-100. They are assigned randomly to different centers and thus Tillerson expects all centers to have similar mean scores. She collects the data in the table. #applications g 8g 9360 67.50 14.85 9870 67.17 15.10 0 1 2 3 7020 67.28 14.79 5040 66.77 15.16 4 rows x 3 columns At this point she just wants to decide whether or not to initiate a deeper investigation into malpractice at all sites. Does she have sufficient evidence for this, at 9% significance? SSTr number (rtol=0.01, atol=0.0001) SSE number (rtol=0.01, atol=0.0001) Fx number (rtol=0.01, atol=0.0001) P-val number (rtol=0.01, atol=0.0001) (a) Yes, she has enough evidence (b) No, she cannot make a conclusion Select the key assumptions in the test you used. (a) All the sampled data come from a uniform distribution. (b) The populations are independent and therefore their covariances are one. (c) All the sampled data come from a normal distribution. (d) The populations are independent and therefore their covariances are zero. (e) All sample sizes are equal ? ? ?
