Group Statistics Std. Std. Error Neighbourhood N Trips A Mean Deviation Mean 7 22.29 16.760 6.335 43.29 19.474 7.360 Independent Samples Test LAYene'A Test for Equality of Varlances t-test for...

Extracted text: Group Statistics Std. Std. Error Neighbourhood N Trips A Mean Deviation Mean 7 22.29 16.760 6.335 43.29 19.474 7.360 Independent Samples Test LAYene'A Test for Equality of Varlances t-test for Equality of Means Sig. (2- ef tailed) Difference Difference Mean Std. Error Trips Equal variances .349 Sig. .556 -2.16 12 .051 -21.000 9.711 assumed Equal variances -2.16 11.7 .052 -21.000 9.711 not assumed Information is collected by a researcher from 14 people on their use of mass transit. Seven individuals were from Neighborhood A and seven were from Neighborhood B. The data were entered into SPSS and an independent samples t-test was performed to test the following hypotheses, with a = 0.05. HO: The mean number of mass transit trips is equal for both neighborhoods; µA = µB H1: Use of the mass transit system varies between people from Neighborhood A and Neighborhood B: HA * µB. What is the mean difference between the samples? O 22 O 21 O 17 O 23 O43 19


Extracted text: A medical geographer in Kenya is studying the distribution of an infectious strain of "sleeping sickness". She believes it should be more prevalent among human populations that live in river floodplains. Data were collected on the number of infections from a random sample of 100 people on a floodplain and a second sample of 125 people living in an adjacent highlands area. 10 people from the floodplain and 8 people from the highlands were found to be infected. What is the mean and the standard error of the pooled (floodplain and highland) proportion of people infected. 0.16, 0.0731 0.08, 0.0321 0.064, 0.0321 0.0444, 0.0321 0.08, 0.0364