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@ -9,7 +9,9 @@ For every question, try to come up with an interval such that you're 80% confide
## Judgement call ## Judgement call
In some cases, people didn't answer the question. For example, under the is.veg variable, you can have TRUE, FALSE, or NA: Not Available. If their number is respectively x, y and z, it might be a good first order approximation to estimate the actual proportion of vegetarians/vegans as x/(x+y). In some cases, people didn't answer the question. For example, under the is.veg variable, you can have TRUE, FALSE, or NA: Not Available. If their number is respectively x, y and z, it might be a good first order approximation to estimate the actual proportion of vegetarians/vegans as x/(x+y).
However, I've decided to be extremely anal about it, and choose to define the actual proportion of people who define as vegan as x/(x+y+z). To do otherwise would be to replace questions. This doesn't make much of a difference in the case of plant eating, but it does in the identity politics questions. Curiously, doing so *raises* the average number of questions participants got right, but not by much. However, I've decided to be extremely anal about it, and choose to define the actual proportion of people who define as vegan as x/(x+y+z). I think that to do otherwise would be to replace questions. This doesn't make much of a difference in the case of plant eating, but it does in the identity politics questions. Curiously, doing so *raises* the average number of questions participants got right, but not by much.
Finally, I was told that the total number of people who answered the survey as 2607, so in the previous example, x+y+z := 2607. I stuck by 2607, yet the database I work with only has 2601 datapoints. I don't think this makes much of a difference either way.
## Questions ## Questions
@ -66,6 +68,8 @@ However, I've decided to be extremely anal about it, and choose to define the ac
1. What percent of people will say that they are a student? 1. What percent of people will say that they are a student?
## Answers ## Answers
I got this answers using R from the data released by the EA survey people, available at [this link](https://github.com/peterhurford/ea-data/blob/master/data/2018/2018-ea-survey-anon-currencied-processed.csv). This allowed me to get a high level of precision, which was useful, because then I didn't have to care about whether the intervals were open or closed. For example, if someone gives an interval of (60,90), and the answer is 60, do I count it as right? If instead of 60 I have 59.76, I don't have to think about that problem.
1. 22.20943613 1. 22.20943613
1. 33.17990027 1. 33.17990027
1. 11.73762946 1. 11.73762946