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1. (Dataset: NES. Variables: polknow2, political_trust, ft_Tea, nesw.) Given the Tea Party movement's deep skepticism of government activism, it seems plausible to hypothesize that individuals who distrust the government would have warmer feelings toward the Tea Party than would those who trust the government to do what's right. Of course, persons would need to be reasonably well informed about politics to make the connection between their assessment of government and their evaluation of the Tea Party. When we control for political knowledge (control variable), we may find that the relationship between Tea Party ratings (dependent variable) and trust of government (independent variable) gets stronger as knowledge increases. In other words, interaction could be occurring in this set of relationships. Consider two propositions and an ancillary hypothesis. Proposition 1: At all levels of political knowledge (NES variable, polknow2), individuals who distrust the government (political_trust) will give the Tea Party higher ratings (ft_Tea) than will people who trust the government. Proposition 2: The relationship between political trust and Tea Party ratings will be weaker for lower-knowledge respondents than for those with higher knowledge. Ancillary hypothesis: In a comparison of individuals, those with higher levels of political knowledge are more likely to trust the government than are those with lower levels of political knowledge. The dependent variable is the Tea Party feeling thermometer (ft_Tea), which runs from 0 (cold or negative feelings) to 100 (warm or positive feelings). The independent variable is political_trust, which captures how often respondents trust in government to do what's right, with five ordinal values-never, some, about half, most, or always. A. Use the Analyze Compare Means Means procedure (with layers) to do a controlled mean comparison analysis of ft_Tea for each combination of political_trust and polknow 2. Record the means next to the question marks in the following table. Use weights so your results are nationally representative. Political Knowledge Total How often can you trust federal government to do what's right? Low High Never ? ? ? Some ? ? ? About half ? ? ? How often can you trust federal government to do what's right? Low High Never ? ? ? Some 2 ? 2 About half ? ? ? Most ? ? ? Always ? ? ? Total 2 ? 2 B. Create a presentation-quality multiple line chart of the relationship between the Tea Party thermometer and political_trust, controlling for polknow2. There should be one line for high-knowledge respondents and another for low-knowledge respondents. Print the chart. C. Consider the numeric table and the graph. Do the results support Proposition 1? Answer yes or no, and explain. D. Do the results support Proposition 2? Answer yes or no, and explain. E. Test the ancillary hypothesis by producing a cross-tabulation with political_trust as the dependent variable and polknow2 as the independent variable. Obtain column percentages. Do the results support the hypothesis? Answer yes or no, and explain, making specific reference to the cross- tabulation percentages. 1. (Dataset: NES. Variables: polknow2, political_trust, ft_Tea, nesw.) Given the Tea Party movement's deep skepticism of government activism, it seems plausible to hypothesize that individuals who distrust the government would have warmer feelings toward the Tea Party than would those who trust the government to do what's right. Of course, persons would need to be reasonably well informed about politics to make the connection between their assessment of government and their evaluation of the Tea Party. When we control for political knowledge (control variable), we may find that the relationship between Tea Party ratings (dependent variable) and trust of government (independent variable) gets stronger as knowledge increases. In other words, interaction could be occurring in this set of relationships. Consider two propositions and an ancillary hypothesis. Proposition 1: At all levels of political knowledge (NES variable, polknow2), individuals who distrust the government (political_trust) will give the Tea Party higher ratings (ft_Tea) than will people who trust the government. Proposition 2: The relationship between political trust and Tea Party ratings will be weaker for lower-knowledge respondents than for those with higher knowledge. Ancillary hypothesis: In a comparison of individuals, those with higher levels of political knowledge are more likely to trust the government than are those with lower levels of political knowledge. The dependent variable is the Tea Party feeling thermometer (ft_Tea), which runs from 0 (cold or negative feelings) to 100 (warm or positive feelings). The independent variable is political_trust, which captures how often respondents trust in government to do what's right, with five ordinal values-never, some, about half, most, or always. A. Use the Analyze Compare Means Means procedure (with layers) to do a controlled mean comparison analysis of ft_Tea for each combination of political_trust and polknow 2. Record the means next to the question marks in the following table. Use weights so your results are nationally representative. Political Knowledge Total How often can you trust federal government to do what's right? Low High Never ? ? ? Some ? ? ? About half ? ? ? How often can you trust federal government to do what's right? Low High Never ? ? ? Some 2 ? 2 About half ? ? ? Most ? ? ? Always ? ? ? Total 2 ? 2 B. Create a presentation-quality multiple line chart of the relationship between the Tea Party thermometer and political_trust, controlling for polknow2. There should be one line for high-knowledge respondents and another for low-knowledge respondents. Print the chart. C. Consider the numeric table and the graph. Do the results support Proposition 1? Answer yes or no, and explain. D. Do the results support Proposition 2? Answer yes or no, and explain. E. Test the ancillary hypothesis by producing a cross-tabulation with political_trust as the dependent variable and polknow2 as the independent variable. Obtain column percentages. Do the results support the hypothesis? Answer yes or no, and explain, making specific reference to the cross- tabulation percentages

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