Group StatisticsStd.Std. ErrorNeighbourhood NTrips AMeanDeviationMean7 22.2916.7606.33543.2919.4747.360Independent Samples TestLAYene'A Testfor Equality ofVarlancest-test for Equality of MeansSig.(2-ef tailed) Difference DifferenceMeanStd. ErrorTrips Equal variances .349Sig..556 -2.1612.051-21.0009.711assumedEqual variances-2.16 11.7.052-21.0009.711not assumedInformation 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 performedto test the following hypotheses, with a = 0.05.HO: The mean number of mass transit trips is equal for both neighborhoods; µA = µBH1: Use of the mass transit system varies between people from Neighborhood A andNeighborhood B: HA * µB.What is the mean difference between the samples?O 22O 21O 17O 23O4319 A medical geographer in Kenya is studying the distribution of an infectious strain of"sleeping sickness". She believes it should be more prevalent among humanpopulations that live in river floodplains. Data were collected on the number ofinfections from a random sample of 100 people on a floodplain and a second sampleof 125 people living in an adjacent highlands area. 10 people from the floodplain and8 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, 0.07310.08, 0.03210.064, 0.03210.0444, 0.03210.08, 0.0364

Question

Group StatisticsStd.Std. ErrorNeighbourhood NTrips AMeanDeviationMean7 22.2916.7606.33543.2919.4747.360Independent Samples TestLAYene'A Testfor Equality ofVarlancest-test for Equality of MeansSig.(2-ef tailed) Difference DifferenceMeanStd. ErrorTrips Equal variances .349Sig..556 -2.1612.051-21.0009.711assumedEqual variances-2.16 11.7.052-21.0009.711not assumedInformation 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 performedto test the following hypotheses, with a = 0.05.HO: The mean number of mass transit trips is equal for both neighborhoods; µA = µBH1: Use of the mass transit system varies between people from Neighborhood A andNeighborhood B: HA * µB.What is the mean difference between the samples?O 22O 21O 17O 23O4319 A medical geographer in Kenya is studying the distribution of an infectious strain of&#34;sleeping sickness&#34;. She believes it should be more prevalent among humanpopulations that live in river floodplains. Data were collected on the number ofinfections from a random sample of 100 people on a floodplain and a second sampleof 125 people living in an adjacent highlands area. 10 people from the floodplain and8 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, 0.07310.08, 0.03210.064, 0.03210.0444, 0.03210.08, 0.0364

Accepted Answer

Test is that whether the mean number of mass transit trips is equal for both neighborhoods.
Note :…