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In looking at this sent of data what can we learn from it in regards to dependency? (Support your answer by citing and interpreting the
In looking at this sent of data what can we learn from it in regards to dependency? (Support your answer by citing and interpreting the data)
Case Processing Summary Cases Valid Missing Total N Percent Percent N Percent Dependency * Gender 400 100.0% 0.0% 400 100.0% Relationship happiness * 400 100.0% 0.0% 400 100.0% GenderDependency * Gender Crosstab Gender Male Female Total Dependency 1 4 Count 2 1 3 Expected Count 1 .5 1.5 3.0 15 Count 2 2 Expected Count 1.0 1.0 2.0 16 Count 2 4 Expected Count 2.0 2.0 4.0 1 7 Count S Expected Count 5.0 18 Count 6 8 Expected Count 4.0 4.0 B.0 1 9 Count 1 Expected Count 2.5 2.5 5.0 20 Count 10 Expected Count 5.0 5.0 10.0 21 Count 4 12 Expected Count 6.0 6.0 12.0 22 Count 3 1 1 Expected Count 5.5 5.5 11.0 23 Count 3 Expected Count 5.0 5.0 10.0 Count 8 17 Expected Count 8.5 8.5 17.0 Count 5 17 Expected Count 17.0 26 Count 9 9 18 Expected Count 18.0 27 Count 1 4 22 Expected Count 11.0 11.0 22.0 Count 20 9 29 Expected Count 14.5 14.5 29.0 Count 23 Expected Count 11.5 11.5 23.0 30 Count 14 22 Expected Count 11.0 11.0 22.0 Count 12 13 25 Expected Count 12.5 12.5 25.0 32 Count 1 1 10 Expected Count 10.5 10.5 21.0 Count 16 Expected Count 3.0 8.0 16.0 Count 20 23 Expected Count 11.5 23.0 Count 12 20 Expected Count 10.0 10.0 20.0 Count Expected Count 45 37 Count 7 12 Expected Count 6.0 12.0 38 Count 3 10 13 Expected Count 6.5 13.0 39 Count 2 10 Expected Count 5.0 5.0 10.0 Count 1 3 Expected Count 2.0 2.0 1.0 Count IN Expected Count 1.0 1.0 2.0 42 Count 1 Expected Count 2.5 2. 5.0 43 Count 0 3 JO-OAOWOAONO Expected Count 1.5 1.5 3.0 4 4 Count 1 Expected Count .5 2. 45 Count Expected Count 1.047 Count Expected Count N 48 Count Expected Count Count -60 NOWON DOONONOWON Expected Count N 51 Count Expected Count 2.0 2.0 56 Count Expected Count Total Count 200 200 400 Expected Count 200.0 200.0 400.0 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 72.181 36 000 Likelihood Ratio 83.067 36 000 Linear-by-Linear 32.228 000 Association N of Valid Cases 400 a. 36 cells (48.6%) have expected count less than 5. The minimum expected count is .50.Symmetric Measures Approximate Value Significance Nominal by Nominal Phi .425 000 Cramer's V .425 000 N of Valid Cases 400Step by Step Solution
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