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This 4 page Bundle was uploaded by Kevin Porter on Thursday September 22, 2016. The Bundle belongs to PSC 202 - M100 at Syracuse University taught by S. Piston in Spring 2016. Since its upload, it has received 5 views.
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Date Created: 09/22/16
Kevin Porter Introduction To Political Analysis Professor Piston 3/25/16 Problem Set #3 1a) See attached. 1b) Interactive After holding the control variable constant, does a relationship exist between the independent variable and the dependant variable within at least one value of the control variable? ↳ Yes, a relationship does exist in at least one value of the control group. This means that the relationship is not spurious. Is the direction of the relationship between the independent variable and the dependent variable the same at all values of the control group? ↳ No the direction of the relationship between the independent variable and the dependent variable is not the same at all values of the control group. On both sides, there were both positive and negative values/relationships. Is the strength of the relationship between the independent variable and the dependent variable the same or very similar at all values of the control variable? ↳ No, the strength of the relationship between the independent variable and the dependent variable are not the same or very similar at all values of the control group. The variation is all over the place, and has a wide range. 1c) See attached 1d) Yes it does. For both Liberals and Conservatives, we see increased support for social security when the respondent is closer in age or younger than the interviewer. For Liberals, this was the case for 59.3% of the total interviewees, and for Conservatives 50.2% responded with the belief that spending was too little on social security. 1e) The age difference is just slightly stronger for Conservatives than for liberals. In both cases when the respondent was older than the interviewer, 52% of Liberals and 55% of Conservatives responded that we were spending about right / too much on Social Security. Despite Conservatives edging Liberals by a slight margin, this also showed that they do not have as divergent opinions on social security as might be expected. While Liberals were more open about spending more on social security, Conservatives we split almost down the middle with 50% on each side of the opinions. It is interesting to note that the divide was the same in nature , where older respondents both Liberal and Conservative believed that we were spending about right / too much, and younger Liberal and Conservative respondents were more supportive of Social Security spending. While the evidence does support proposition two, there is much less variation than might be expected 2a) 8.5 Years: (8.512)/2 = 1.75 10 Years: (1012)/2 = 1 14.5 Years: (14.512)/2 = 1.25 16 Years: (1612)/2 = 2 2b) 1.5: 9 Years 0.5: 13 Years 2.0: 16 Years 2c) 38% of the population has between 11 and 13 years of education 2d) 9.5 Years of education. 3) Standard deviation: 5.97 Mean: 76.75 Variance: 35.68 The mean of the test scores (80,84,75,68) is 76.75, which means that the scores will vary by 5.67 points on the tests which represents a relatively close and concentrated data set around the mean. Kevin Porter PSC 202 Li Shao 4/18/16 Problem Set 4 1a) Standard error of the mean = 2 95% Confidence interval of the standard mean = 66.08 73.92 1b) The journalist is not on solid statistical grounds and the average weight is not still 75. Under the mayor, the 95% confidence interval is between 66.0873.92 which is far less than if the average weight was still 75 which is 71.0878.92. 2a) Standard error of the difference in the mean scores: 3.9 2b) Null hypothesis: 0 (There is no difference) Alternative hypothesis: 5 (There is a difference) 2c) T = 1.3 with 1098 degrees of freedom 3a) The predicted level of infant mortality with no level of bureaucratic capability to implement public policies, is classified as a dictatorship, and has no doctors per 1,00 residents in the country is 80%. 3b) 3c) 3d) The predicted level of mortality is higher in Country A (183%) than it is in Country B (178%). 4a) The null hypothesis between education and income states that r = 0. 4b) There is a moderate positive relationship because the coefficient is positive. We can reject the null hypothesis at the 0.05 level because the p value (0.04) is less which means the coefficient is significant and is not equal to 0. 4c) Negative coefficient which indicates a negative relationship exists between education and ideology. 4d) No, because the p value (.098) is greater than the significance level (0.95), therefore we can not come to the conclusion that the coefficient is different from 0.
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