be at least two postings, one being an answer to the question and one providing a response to one of your colleagues’ answers. Provide an answer by the end of Friday so there is time to reflect and comment with your second posting by the end of Sunday. The grading will be based on the attached rubric. Prompt: Think of research situation where you want to compare two or more population proportions and state the research question in a way that the z test would be used and in a way that a chi square test would be used.


And I need your opinion about this two post.That’s all 1)2019 India Presidential Election In order to examine the voting preference in the 2019 India Presidential election where 2 major parties such as Bhartiya janta party, and Congress party, thinking of age factor of people such as young, old etc are going to participate. We need to collect the voting preference and age of the subject. Do the old age’s voting preferences differ significantly from the young age’s voting preferences in the 2019 India Presidential election? Old age=People over 60 Young age=People under 60 Questions: For z test: Is there a variation in proportion of old age people voted for a party in 2019 India Presidential election is different from the proportion of young age people voted for same party. Ho: P1 = P2 Chi square test: Is there any association between age factor and voting preference in 2019 India Presidential election. Ho: There is no association between age factor and voting preference in 2019 India Presidential election. 2)Research situation – A research group would like to compare the incidence of tuberculosis in individuals with malnutrition and those without malnutrition. For the z-test, is there a significant difference in the incidence of tuberculosis in individuals with and without malnutrition? Null hypothesis H0 – There is no difference in the proportion of incidence of tuberculosis in individuals with and without malnutrition. Alternate hypothesis H1 – There is a difference in the proportion of incidence of tuberculosis in individuals with and without malnutrition. For the chi-squared test, is there an association between tuberculosis and malnutrition? Null hypothesis H0 – The incidence of tuberculosis is not associated with malnutrition. Alternate hypothesis H1 – The incidence of tuberculosis is associated with malnutrition