From September 1st to September 17th, I asked 17 random students from the University of Texas at San Antonio if we should abolish the Electoral College. Out of my findings, I discovered that the majority of students were for the abolishment of the Electoral College. The results were relatively close with 58.82% of the respondents for abolishing the Electoral College and 41.18% for preserving it. However, there was a margin of error of 23.76%, and a 95% confidence interval of 35.06% to 82.58%. This means that out of the 17 students I surveyed at UTSA, which currently has around 29,000 students, there could be some significant error in the approval percentage that I calculated. With the margin of error and confidence interval taken into consideration, I believe my survey is not statistically significant because the margin of error is too high and the sampling size is too small. …show more content…
If the sample size of this poll was bigger, then I could have generated a statistically significant result. If I could have changed the manner in which the survey was conducted, then I would have combined all the student’s poll results to produce a more statistically significant result. I also would have asked more people outside of UTSA if the Electoral College should be abolished.
If I was to conduct this poll again, then I would change these two factors to produce more accurate results. I would have asked a lot more people from UTSA and outside of UTSA if the Electoral College should be abolished. Then I would have combined all of the student’s polls to produce a larger sample size and a better statistically significant