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- 1. SPSS solution to calculate p value:Repeat parts a and b using the per-capita income. (Hint: A per Capita income is calculated by dividingtotal household income by the household size to provide a per-person measurement of income).Solution:Null hypothesis:H0: μ1 = μ2H0: There is no significant difference between per Capita income of the Control and Experiment groups.Alternate hypothesis:H1: μ1 ≠ μ2H1: There is a significant difference between per Capita income of the Control and Experiment groups.Level of significance:α = 0.05Decision Rule:If the p value is less than the level of significance we reject the null hypothesis otherwise accept the nullhypothesis.Test statistic: Group Statistics Std. Error GROUP N Mean Std. Deviation Mean Per-capita income Experiment Group 42 8296.8095 3693.78141 569.96285 Control Group 42 7612.6490 5029.17407 776.01841
- 2. Independent Samples Test Levenes Test for Equality of Variances t-test for Equality of Means Mean Std. Error F Sig. t df Sig. (2-tailed) Difference Difference Per-capita Equal variances 2.638 .108 .711 82 .479 684.1605 962.84070 income assumed Equal variances .711 75.264 .480 684.1605 962.84070 not assumedThe value of the test statistic is 0.711P value:The p value for the test statistic is 0.479Click here for SPSS Homework Help

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