Analysis of Health Insurance Coverage and Socioeconomic Factors: A Statistical Review of the Salsberry (2003) Study
A statistical review of the Salsberry (2003) study on health insurance coverage and socioeconomic factors.
Zoey Taylor
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Analysis of Health Insurance Coverage and Socioeconomic Factors: A Statistical
Review of the Salsberry (2003) Study
1. According to the “Introduction,” what categories were reported to be statistically significant?
Statistically significant differences were found across the three groups (uninsured,
Medicaid, and privately insured) in income, working status of the adults, education,
health status of the adult and child, and in the utilization of health care.
2. In Table 1, is the No. in household reported as statistically significant among the three groups
(uninsured, Medicaid, and privately insured)? Provide a rationale for your answer.
The No. in household is not statistically significant among the three groups (uninsured,
Medicaid, and privately insured), since the p-value associated with test statistic is not less
than 0.05.
3. Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your
answer.
The null hypothesis for Marital Status (%) should be rejected, since the p-value
associated with test statistic is less than 0.001.
4. How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale
for your answer.
Six null hypotheses were rejected since the p-values associated with the test statistic is
less than 0.05. Those null hypotheses are given by
Education (adults), Marital status (%), Working (%), Sample group, Adult health status
and Mean household income.
5. Does Marital Status or Education (of adults) have a greater statistically significant difference
among the three groups (uninsured, Medicaid, or privately insured)? Provide a rationale for your
answer.
Marital status have a greater statistically significant difference among the three groups
(uninsured, Medicaid, or privately insured), since the p-value is less than 0.01.
6. Was there a significant difference in working status for the three levels of insurance
(uninsured, Medicaid enrolled, and privately insured)? Provide a rationale for your answer.
There is significant difference in working status for the three levels of insurance
(uninsured, Medicaid enrolled, and privately insured), since the p-value is less than
0.001.
7. State the null hypothesis for level of insurance and Gender–% female.
There is no significant association between gender and level of insurance.
Review of the Salsberry (2003) Study
1. According to the “Introduction,” what categories were reported to be statistically significant?
Statistically significant differences were found across the three groups (uninsured,
Medicaid, and privately insured) in income, working status of the adults, education,
health status of the adult and child, and in the utilization of health care.
2. In Table 1, is the No. in household reported as statistically significant among the three groups
(uninsured, Medicaid, and privately insured)? Provide a rationale for your answer.
The No. in household is not statistically significant among the three groups (uninsured,
Medicaid, and privately insured), since the p-value associated with test statistic is not less
than 0.05.
3. Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your
answer.
The null hypothesis for Marital Status (%) should be rejected, since the p-value
associated with test statistic is less than 0.001.
4. How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale
for your answer.
Six null hypotheses were rejected since the p-values associated with the test statistic is
less than 0.05. Those null hypotheses are given by
Education (adults), Marital status (%), Working (%), Sample group, Adult health status
and Mean household income.
5. Does Marital Status or Education (of adults) have a greater statistically significant difference
among the three groups (uninsured, Medicaid, or privately insured)? Provide a rationale for your
answer.
Marital status have a greater statistically significant difference among the three groups
(uninsured, Medicaid, or privately insured), since the p-value is less than 0.01.
6. Was there a significant difference in working status for the three levels of insurance
(uninsured, Medicaid enrolled, and privately insured)? Provide a rationale for your answer.
There is significant difference in working status for the three levels of insurance
(uninsured, Medicaid enrolled, and privately insured), since the p-value is less than
0.001.
7. State the null hypothesis for level of insurance and Gender–% female.
There is no significant association between gender and level of insurance.
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Subject
Healthcare