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Provide a detailed explanation as to what these three tests tell us about the relationship between Relationship to happiness * gender. (what is the hypothesis
Provide a detailed explanation as to what these three tests tell us about the relationship between Relationship to happiness * gender. (what is the hypothesis Ho: H1; support if the phi rejects or accepts the hypothesis, which of three tests provides more statistic relate information and any additional information ).
Relationship happiness * Gender Crosstab Gender Male Female Total Relationship happiness Very unhappy Count 8 B 16 Expected Count 3.0 8.0 16.0 Unhappy Count 6 10 16 Expected Count 8.0 8.0 16.0 Mixed Count 41 50 91 Expected Count 45.5 45.5 91.0 Happy Count 78 70 148 Expected Count 74.0 74.0 148.0 Very happy Count 67 62 129 Expected Count 64.5 64.5 129.0 Total Count 200 200 400 Expected Count 200.0 200.0 400.0 Chi-Square Tests Asymptotic Significance Value cit (2-sided) Pearson Chi-Square 2.5162 4 642 Likelihood Ratio 2.529 639 Linear-by-Linear 1.140 286 Association N of Valid Cases 400 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 8.00. Symmetric Measures Approximate Value Significance Nominal by Nominal Phi 079 .642 Cramer's V 079 .642 N of Valid Cases 400T-TEST PAIRS=GENDERI GENDERI WITH D HAPPY (PAIRED) /CRITERIA=CI ( . 9500) /MISSING=ANALYSIS. T-Test Paired Samples Statistics Std. Error Mean N Std. Deviation Mean Pair 1 Gender 1.50 400 501 025 Dependency 30.04 400 7.275 364 Pair 2 Gender 1.50 400 501 025 Relationship happiness 3.8950 400 1.03035 05152 Paired Samples Correlations N Correlation Sig Pair 1 Gender & Dependency 400 284 000 Pair 2 Gender & Relationship 400 -.053 .286 happiness Paired Samples Test Paired Differences 95% Confidence Interval of the Std. Error Difference Mean Std. Deviation Mean Lower Upper if Sig. (2-tailed) Pair 1 Gender - Dependency -28.535 7.149 357 29.238 -27.832 -79.831 399 000 Pair 2 Gender - Relationship -2.39500 1.16936 05847 -2.50994 -2.28006 -40.963 399 .000 happinessDescriptive Statistics Mean Std. Deviation N Gender 1.50 .501 400 Dependency 30.04 7.275 400 Relationship happiness 3.8950 1.03035 400 Correlations Relationship Gender Dependency happiness Gender Pearson Correlation 1 .204 -.053 Sig. (2-tailed) 000 .286 N 400 400 400 Dependency Pearson Correlation .204 1 -.053 Sig. (2-tailed) .000 .290 400 400 400 Relationship happiness Pearson Correlation -.053 -.053 1 Sig. (2-tailed) -206 .290 N 400 400 400 #*. Correlation is significant at the 0.01 level (2-tailed)Step by Step Solution
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