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.

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- Nov 26th 2013, 06:03 AMThatgu9A question on binary statistics?
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. - Nov 26th 2013, 06:36 AMHallsofIvyRe: A question on binary statistics?
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.

- Nov 26th 2013, 06:54 AMThatgu9Re: A question on binary statistics?
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)