6a.
Here, the null hypothesis is that there is no difference in the rate of partisan identification between the White and Black populations.
6b.
RESPONDENT | partisan RACE (1) | 0 1 | Total
-----------+----------------------+----------
1 | 9.75 90.25 | 100.00 2 | 7.60 92.40 | 100.00
-----------+----------------------+----------
Total | 9.53 90.47 | 100.00
6c. = =
-0.18 to 4.48
6d.
Based on these results, I would conclude that it is possible that one could find the observed results if the actual difference in the rate of partisan identification between black and white people in the population is zero. Because it is possible that there
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Partisans who voted: = 1.00
Non-Partisans who voted: = 9.81
Partisans who did not vote: = 3.90
Non-Partisans who did not vote: = 38.37
chi^2 statistic = 53.08
8b.
Calculated chi^2 statistic = 53.08
STATA’s chi^2 statistic = 53.0752
8c.
According to table C, with one degree of freedom [(2-1)(2-1) = 1] and the desire for 95% accuracy, the chi^2 statistic must be no greater than 3.84. Because 53.08 is greater than 3.84, we can reject the null hypothesis and confidently state that people who have a partisan identification were more likely to vote than those who did not.
9. I would investigate whether Race is independent of Party Identification Therefore, my null hypothesis would be that that there is no relationship between race and party identification.
Observed frequencies:
RESPONDENT | PARTY ID COLLAPSED (2) RACE (1) | Dem Ind Rep | Total
-----------+---------------------------------+----------
White | 2,229 497 2,374 | 5,100 Black | 470 43 53 | 566
-----------+---------------------------------+----------
Total | 2,699 540 2,427 | 5,666
Expected frequencies:
Dem
Ind
Rep
Total
White
2402.38
486.06
2184.56
5100
Black
266.62
53.94
242.44
566
Total
2669
540
2427
5666
White Democrats: = 12.51
Black Democrats: = 155.14
White Independents: = 0.25
Black Independents: = 2.22
White Republicans: = 16.43
Black Republicans: = 148.03
chi^2
Hypothesis: When surveyed on their political views, Wahlert high school students will side with a presidential candidate that has completely different views than them.
Trump has been recently trying to clear his image as being racist, attempting to be favored by a Black and Latino audience by stopping at urban centers where his key voters congregate. He has been calling media attention on any black voters, to help shed his tainted image and changed his view on immigration wanting only the “bad ones” to leave the country. He even made the point adamant that he is not trying to hurt people, making him seem more for the people then against. He has tried to put the point across that what do Latino and Black voters “have to lose” as they are facing terrible poverty. Although Trump is trying to appeal to black voters, he has declined appearing in front of the NAACP convention.
Campbell’s research question is; “specifically, this article tests whether younger voters have been more likely to realign along religious versus secular lines- as the literature on party identification and realignment suggests they should”(210).
127). This point is the first of emphasized three that seems worthy of its own chapter. While still maintaining that Americans are not polarized, Fiorina et al. give concessions to the opposition, recognizing their own speculation (p. 133). In addition to this, the authors included an appendix immediately after the chapter to clarify their charts. Although slightly different, this is reminiscent of the early chapters. The authors have rediscovered their confidence that had faltered in the two previous arguments. No longer relying on misrepresentations to paint a prettier picture, the authors instead trust in themselves enough to admit supposition and then defend it. Before getting into that, the authors begin by explaining that many scholars have identified a correlation between religion and voter identification (p. 128). What Fiorina et al. argue is that specific religions are not an indicator of specific political identification. Instead, they claim that it is the commitment of an individual to their religion, regardless of denomination, is the determining factor. This important distinction provides the authors with a base on which to build their
In this study, I’m focusing on the correlation of voters’ behaviors about the Liberal party of Canada in the 2015 election. The relationship between Justin Trudeau and the party and what effects to gain more votes, pros and cons, the strengths and the weaknesses among different group of the voters. I did comparisons between the main three Canadian parties (Liberal, Conservative, NDP) and did a research report to help to understand the correlates of their support. This research provides an overview of my study’s finding. I did a statistical analysis about the mean, median, standard deviation, the lower and upper mean, how males and females behave about the party, the income correlations, linear, nonlinear, monotonic and non-monotonic relationship, null and alternative hypothesis and many more.
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You are curious about whether the professors and stu¬dents at your school are of different political persuasions, so you take a sample of 20 professors and 20 students drawn randomly from each population. You find that 10 professors say they are conservative and 6 students say they are conservative. Is this a statistically significant difference?
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