Survey2
Survey Report
I polled a total of 16 randomly selected students from October 20th to October 24th with an outcome of 6 out of 16 (37.5%) students that approved and 10 out of 16 (62.5%) that did not approve. After collecting the data I then calculated the margin of error by using the online margin of error calculator with the population size of 29,000 and a sample size of 16 which gave me a margin of error of 24.49. Then I calculated the 95% confidence interval by adding the margin of error and the approval percentage together which gave me the maximum of the range. I continued on to find the minimum of the range by then subtracting the margin of error from the percentage approval. I then calculated a range from 13.01% to 61.99% if we expected the percentage approving to fall 95 out of 100 times. I concluded that the difference between the percentage approving and not approving is not statistically significant. Reason being is because there wasn’t enough polls to determine an accurate answer. If the sample size was greater, I believe that there would be a better chance of getting results that are more statistically significant. Thus there were some weaknesses of the poll I conducted such as the sample size. Also, the location where I conducted the survey could be a factor of a weak poll considering the huge size of the campus. Another factor that made this a weak poll was the amount of males vs females that actually had a response. Most females that I tried to survey did not have and answer which is why I have more polls of males than females. The way the question is worded can also be intimidating to people thus forcing them to give any answer instead of an accurate one. If I could change any of the factors that influence a more accurate answer, I would first of all increase the sample size to at least 1000 students. I would make sure that the amount of males and females I poll are equal. Also I would choose different sections or buildings around campus and
I polled a total of 16 randomly selected students from October 20th to October 24th with an outcome of 6 out of 16 (37.5%) students that approved and 10 out of 16 (62.5%) that did not approve. After collecting the data I then calculated the margin of error by using the online margin of error calculator with the population size of 29,000 and a sample size of 16 which gave me a margin of error of 24.49. Then I calculated the 95% confidence interval by adding the margin of error and the approval percentage together which gave me the maximum of the range. I continued on to find the minimum of the range by then subtracting the margin of error from the percentage approval. I then calculated a range from 13.01% to 61.99% if we expected the percentage approving to fall 95 out of 100 times. I concluded that the difference between the percentage approving and not approving is not statistically significant. Reason being is because there wasn’t enough polls to determine an accurate answer. If the sample size was greater, I believe that there would be a better chance of getting results that are more statistically significant. Thus there were some weaknesses of the poll I conducted such as the sample size. Also, the location where I conducted the survey could be a factor of a weak poll considering the huge size of the campus. Another factor that made this a weak poll was the amount of males vs females that actually had a response. Most females that I tried to survey did not have and answer which is why I have more polls of males than females. The way the question is worded can also be intimidating to people thus forcing them to give any answer instead of an accurate one. If I could change any of the factors that influence a more accurate answer, I would first of all increase the sample size to at least 1000 students. I would make sure that the amount of males and females I poll are equal. Also I would choose different sections or buildings around campus and