Chi-Square Measurement Problem Sets

274 Words1 Page
Exercise 40: Chi-Square 1.Statistically significant values reported in the introduction were income, working status of adults, education, health status of adults and child, and utilization of healthcare. 2.No, because there is no symbol after the 3.70 value to show significance. 3.No, because there was no significant differences. 4.The introduction reported significance in 5 areas where null hypothesis were rejected, listed in question 1. 5.Education was a greater significant difference than marital status because the introduction listed education as having one of the greatest significant differences, but did not list marital status has have a significant difference. 6.Yes, working status was reported with a high significant difference with a significant symbol and notes reporting significance at >p=0.001. 7.The null hypothesis for gender-% female is: "Female gender does not have any significance on whether children have insurance or not." 8.The null hypothesis for gender-% female should be accepted because there was no significant difference to justify rejection. 9.No, it was not what was expected. The expectation was that children too often fall between the cracks of qualifying for Medicaid and the affordability of health insurance. Medicaid has maximum caps on the income levels times the number of family members. Sometimes the income of the family is only a few dollars above the maximum threshold on Medicaid that does not equal affordability of health insurance
Open Document