Health insurance has been identified as an effective tool for removing barriers to healthcare utilisation, especially in developing countries. However, many factors such as odocation wealth or income, age, religion, health status and sex can influence individual's decision to errol or not to enrolont health insurance. The National Insurance Commission (NIC) of Ghana wims to evaluate health insurance policy subscription imong individuals in a typical rural district of the country (Biakoye). The distributions of individuals in all the five communities of the district are as follows: Aherkro 12,800 Bumbula 3,200, Wurupong 6,400 Appiakrom 3,200 and Ntunda 1,400. You have been contracted to work on this project. The aim of this project is to ascertain the insociation between religious denominations and health insurance moment decisions Choose and describe propriate sampling techniques to be adopted in secting representative sample of 24.000 individuals for the study 15 marks ) . By analyzing the data wing Chi Square Test, you obtained the results in the four tubes Below Study the results carefully and answer the questions that follow Table 1: Case Processing Summary Cases Valid Missing N Percent N Percent N Percent Health insurance status religion 23110 100.0 0.0% 23115 1000 Table 2: Crosstabulation of health insurance status and Religious denomination Health insurance status Insured Uninsured 561 495 Religious denomination No religion Com Orthodox Christian Pentecostal charmat Com Christiane Islam Total 1056 100.0 540 3738 69,00 6667 31.0% 3493 75.0% 1164 25.0% African Traditionalist C 577 1094 100.0% 4157 100.0% 1013 100.0% 23:10 1000 57.00 15036 Total 43.0% 8074 34.9% Table 3: Chi-Square Tests Value ar Asymptotic Significance-sided) Pearson Chi-Square 421649 4 000 Likelihood Katie 428 636 4 000 Lincor-by-Line 27.655 1 Antociation Nor Validas 23110 a. Ocells (0,0%) have expected countless than 5. The minimum expected.com is 333.91 Table 4: Symmetrie Measures V Nominal by Nominal .135 135 Appimate Significance 000 .000 Cramers V NoVMC i Determine the total ample sired for the test and calculate the response rate 12 marks 11. Determine the proportion of Orthodox Christians that got insured. [2 marks i. State any two requirements for using chi-square test [2 marks iv. State appropriate hypotheses for the study mark Health insurance has been identified as an effective tool for removing barriers to healthcare utilisation, especially in developing countries. However, many factors such as odocation wealth or income, age, religion, health status and sex can influence individual's decision to errol or not to enrolont health insurance. The National Insurance Commission (NIC) of Ghana wims to evaluate health insurance policy subscription imong individuals in a typical rural district of the country (Biakoye). The distributions of individuals in all the five communities of the district are as follows: Aherkro 12,800 Bumbula 3,200, Wurupong 6,400 Appiakrom 3,200 and Ntunda 1,400. You have been contracted to work on this project. The aim of this project is to ascertain the insociation between religious denominations and health insurance moment decisions Choose and describe propriate sampling techniques to be adopted in secting representative sample of 24.000 individuals for the study 15 marks ) . By analyzing the data wing Chi Square Test, you obtained the results in the four tubes Below Study the results carefully and answer the questions that follow Table 1: Case Processing Summary Cases Valid Missing N Percent N Percent N Percent Health insurance status religion 23110 100.0 0.0% 23115 1000 Table 2: Crosstabulation of health insurance status and Religious denomination Health insurance status Insured Uninsured 561 495 Religious denomination No religion Com Orthodox Christian Pentecostal charmat Com Christiane Islam Total 1056 100.0 540 3738 69,00 6667 31.0% 3493 75.0% 1164 25.0% African Traditionalist C 577 1094 100.0% 4157 100.0% 1013 100.0% 23:10 1000 57.00 15036 Total 43.0% 8074 34.9% Table 3: Chi-Square Tests Value ar Asymptotic Significance-sided) Pearson Chi-Square 421649 4 000 Likelihood Katie 428 636 4 000 Lincor-by-Line 27.655 1 Antociation Nor Validas 23110 a. Ocells (0,0%) have expected countless than 5. The minimum expected.com is 333.91 Table 4: Symmetrie Measures V Nominal by Nominal .135 135 Appimate Significance 000 .000 Cramers V NoVMC i Determine the total ample sired for the test and calculate the response rate 12 marks 11. Determine the proportion of Orthodox Christians that got insured. [2 marks i. State any two requirements for using chi-square test [2 marks iv. State appropriate hypotheses for the study mark