In an experiment 1000 people were sampled. Of these 1000 people, 65 people had a positive result and the remainder had a negative. How do I do a statistical analysis on this?
Any help greatly appreciated.
What kind of "statistical analysis" do you mean? 65 out of 1000 is $\displaystyle \frac{65}{1000}= 0.065= 6.5%$. "The remainder" would be 1000- 65= 935 and $\displaystyle \frac{935}{1000}= 0.935= 93.5%$. I don't see any more that can be "statistically" said.
I'm trying to use the data to predict the behaviour across larger data sets. For instance across 1000 people the rate is obviously 6.5%. So whats the error associated with my measurement based on my sample size. What can I say about future results?
I suppose what I'm looking for is the equivalent to drug trial stats. If I give a drug to 1000 people and 65 have a positive outcome what can I statistically say about using that drug in the future. (I know 65 out of 1000 is not very many)