1. Look at article below. Was there a statement about margin of error? Interpret the statement using the example below.

Reference: http://www.hivlegalnetwork.ca/site/wp-content/uploads/2013/04/Nov26-CAMRpoll-ENG.pdf

Example:

The study I found originally had no statement about margin of error, so instead I found another one by googling "margin of error 19 times out of 20". ThestudyI chose talked about how "80% of Canadians want changes to Canada's access to medicines regime." In the study, the survey they used had a +/- 3.1% margin of error, 19 times out of 20. This means that on the low end, there would be 80%-3.1%, and on the high end, there would be 80%+3.1%. And if you run 20 times, 19 of those times would have a result in that range. Overall, there would be a result of between 76.9% and 83.1%, 19 times out of 20. Typically, the smaller the sample size, the less accurate it is at representing an entire population due to the law of large numbers. This also means that the opposite is true, as long as the samples are randomly selected and not all from one category or place. In this study, they only had a sample size of 1,025 people to represent all Canadians, meaning that the results may not be as representative as having 100,000 people as a sample.