Thanks.
Anyway, it is not homework and I was not told to do that. My question has
not been answered yet, I'll try to reformulate it:
Does it make (statistical) sense to resample with replacement in this
situation to get an estimate of the CIs? In case it does, how could I do it
in R?
Some further
On Dec 2, 2011, at 3:55 AM, lincoln wrote:
Thanks.
Anyway, it is not homework and I was not told to do that. My
question has
not been answered yet, I'll try to reformulate it:
Does it make (statistical) sense to resample with replacement in this
situation to get an estimate of the CIs? In
...is it possible to do that?
I apologize for something that must be a very trivial question for most of
you but, unfortunately, it is not for me.
A binary variable is measured, say, 50 times each year during 10 year. My
interest is focused on the percentage of 1s with respect to the total if
On Dec 1, 2011, at 6:34 AM, lincoln wrote:
...is it possible to do that?
I apologize for something that must be a very trivial question for
most of
you but, unfortunately, it is not for me.
A binary variable is measured, say, 50 times each year during 10
year. My
interest is focused on
Thanks.
So, suppose for one specific year (first year over 10) the percentage of
successes deriving from 100 trials with 38 successes (and 62 failures), its
value would be 38/100=0.38.
I could calculate its confidence intervals this way:
success-38
total-100
On Dec 1, 2011, at 10:49 AM, lincoln wrote:
Thanks.
So, suppose for one specific year (first year over 10) the
percentage of
successes deriving from 100 trials with 38 successes (and 62
failures), its
value would be 38/100=0.38.
I could calculate its confidence intervals this way:
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