margin of error formula

  • Thread starter Thread starter Guest
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Guest

Hello,
I have file with a total size of 1438. However, 919 of the total are blank.
I am doing an analysis on the 519 good items, but I also want to include a
margin of error and/or confidence level that includes the blanks.

How would I accomplish this?
 
I do not understand your question,
how are you calculating margin of error and confidence level if you ignore
the blanks?
how do you want the blanks treated?
 
The blanks are part of the data, just incomplete. I want to be able to
assume a confidence level that the mean of the dataset would not waver if the
blanks were indeed complete.
 
the difficulty with this type of prediction is that you have to know the
distribution.
for a true gaussian distribution the 90 % confidence interval for the mean
would be +- sigma/ square root of the number in the sample. I have worked
with very few distributions which are sufficiently "Normal" to allow this to
be a good predictor.

You can run a monte carlo to make a prediction but some of the issue is what
level of confidence to you want and what is your definition of "waver".
 
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