Question

background: morris saldov conducted a study in eastern and central newfoundland in 1988 to examine public attitudes towards social spending. in particular, the study tried to determine if knowing someone on public assistance (yes, no) affected ones views on social spending (too little, about right, too much). the data from the study is summarized in the table below. source: morris saldov, public attitudes to social spending in newfoundland, canadian review of social policy, 26, november 1990, pages 10 - 14. directions: conduct a chi - square test for independence to determine if the association between knowing someone on public assistance and views on social spending is statistically significant. 1. choose the correct null and alternative hypotheses. $h_0$: there is an association between knowing someone on public assistance and views on social spending. $h_a$: there is no association between knowing someone on public assistance and views on social spending. $h_0$: there is no association between knowing someone on public assistance and views on social spending. $h_a$: there is an association between knowing someone on public assistance and views on social

Explanation:

In a chi - square test for independence, the null hypothesis \(H_0\) assumes that the two variables (in this case, knowing someone on public assistance and views on social spending) are independent (no association). The alternative hypothesis \(H_a\) assumes that they are not independent (there is an association).

Answer:

\(H_0\): There is no association between knowing someone on public assistance and views on social spending. \(H_a\): There is an association between knowing someone on public assistance and views on social spending.