I am completing a homework assignment. Week 5 of BUSI 820 for…

QuestionAnswered step-by-stepI am completing a homework assignment. Week 5 of BUSI 820 for…I am completing a homework assignment.  Week 5 of BUSI 820 for Liberty University. Note:  Due to an issue with one of the data points not being available in the dataset we had to choose another data point, so there is not going to be a simple answer to pull from this question from previous students. Below is the question I’m answering, the Chi-square IBM SPSS data I pulled, and then my interpretation below that.  I’m not sure how to interpret the significance of the following: 1) Under Chi-square tests: the Pearson Chi Square of 38.638, the likelihood ratio of 49.589, or the Linear-by-Linear Association of 25.432.   2) Under Symmetric measures: the Phi of .888, or Cramer’s V of .888 with an approximate significance of <.001. Can you help me understand how to interpret these, or understand their meaning in context of interpreting for this question?  Thanks! A.4.7.1.a. Run crosstabs and interpret the results of chi-square and phi (or Cramer's V), as discussed in Chapter 7 and in the interpretation of Output 7.1. Figure 1. Have children and marital statusCase Processing Summary  CasesValid Missing TotalN Percent N Percent N Percentmarital status * does subject have children 49 98.0% 1 2.0% 50 100.0% marital status * does subject have children Crosstabulation  does subject have children Totalno yesmarital status single Count 20 0 20Expected Count 9.4 10.6 20.0% within does subject have children 87.0% 0.0% 40.8%married Count 1 17 18Expected Count 8.4 9.6 18.0% within does subject have children 4.3% 65.4% 36.7%divorced Count 2 9 11Expected Count 5.2 5.8 11.0% within does subject have children 8.7% 34.6% 22.4%Total Count 23 26 49Expected Count 23.0 26.0 49.0% within does subject have children 100.0% 100.0% 100.0% Chi-Square Tests  Value df Asymptotic Significance (2-sided)Pearson Chi-Square 38.638a 2 <.001Likelihood Ratio 49.589 2 <.001Linear-by-Linear Association 25.432 1 <.001N of Valid Cases 49    a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 5.16. Symmetric Measures  Value Approximate SignificanceNominal by Nominal Phi .888 <.001Cramer's V .888 <.001N of Valid Cases 49   4.7.1.b Interpret the Results for Having Children and Marital Status            To investigate the relationship between participants with them being married and having or not having children, a chi-square statistic was conducted (Morgan et al., 2020). Figure 1 first shows the processing summary, a cross-tabulation, the chi-square tests, and symmetric measures (Morgan et al., 2020). The case processing summary shows that there were fifty participants, with one missing response, so 98% responding (Morgan et al., 2020). The cross tabulation showed that three categories: single, married and divorced; there were 20 single participants with 0 having children, and 20 not having children; there were 18 married participants with 17 having children, and 1 not having children; and there were 11 divorced participants with 9 having children and 2 not having children (Morgan et al., 2020). There was a large difference between the count and the expected count: for single all 20 participants had no children and the expected count was closer to an even split; the married participants, which had 17 of the 18 participants having children, and an expected count of a closer even split again; and divorced participants, which had 9 participants with children, and 2 without, but the expected count again was closer to an even split (Morgan et al., 2020). The study showed a definite relationship between being married or having been married and having children and being single and not having children (Morgan et al., 2020).   The chi-square test found that 0 cells had expected counts less than 5, which is good as it shows that the conditions were met to use chi-square.MathStatistics and ProbabilityBUSI 820Share Question