Re: how to calculate stand. err. if sample =50% of population

2000-11-30 Thread Paul R Swank
the estimate of the standard error for a sample from a finite population is
[{sigma/sqrt(n)}{sqrt[(N-n)/(N-1)]}].

At 12:39 PM 11/30/00 GMT, [EMAIL PROTECTED] wrote:
>Hello,
>
>who knows an answer to the following question?
>Let's assume that I take a sample of e.g. 100 people. I ask them a
>question and, e.g. 50% say "yes". I construct a 90%-confidence interval
>and get a standard error of 11.6. Fine.
>
>However, this assumes that the population size is unlimited.
>If the population was 100, then I would not have any standard error.
>However, what if the population size is 200? How do I construct a
>confidence interval then?
>
>Anybody with an idea?
>
>Thanks in advance
>
>Nils Riemenschneider
>
>
>
>Sent via Deja.com http://www.deja.com/
>Before you buy.
>
>
>=
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
>  http://jse.stat.ncsu.edu/
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>

Paul R. Swank, PhD.
Professor & Advanced Quantitative Methodologist
UT-Houston School of Nursing
Center for Nursing Research
Phone (713)500-2031
Fax (713) 500-2033

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Re: how to calculate stand. err. if sample =50% of population

2000-11-30 Thread dennis roberts

well, let's see

if you take ANY sized sample from a target population ... as long as you 
don't have all the elements in your sample (ie, you don't actually have the 
population) ... then conceptually there is a standard error

that is, for that sample size ... if you repeatedly take samples and 
calculate the statistic of interest (say a proportion of something in your 
samples) ... and then make a distribution of all those sample statistics 
(ie, those sample proportions) and calculate the standard deviation of that 
SAMPLING DISTRIBUTION of proportions ... THAT is your standard error

of course, as a practical matter, there are at least two considerations 
related to sample size

1. assuming that your population is relatively large, then the larger your 
sample, the closer will be your statistic TO the parameter of interest and 
therefore, the smaller will be your standard error

2. as the proportion gets larger of the size of your sample is to the size 
(if known) of the target population, then the more your sample data 
approximate the population data and, the smaller will be your standard error

in most sampling cases, #2 is not of too much importance since, we usually 
are only able to sample a small fraction of the target population size but, 
IF the target population (by definition) is small, then one wonders why 
there is really much of a sampling issue involved since, it seems like that 
the total population (ie, census) could be obtained ... or close to it

At 12:39 PM 11/30/00 +, [EMAIL PROTECTED] wrote:
>Hello,
>
>who knows an answer to the following question?
>Let's assume that I take a sample of e.g. 100 people. I ask them a
>question and, e.g. 50% say "yes". I construct a 90%-confidence interval
>and get a standard error of 11.6. Fine.
>
>However, this assumes that the population size is unlimited.
>If the population was 100, then I would not have any standard error.
>However, what if the population size is 200? How do I construct a
>confidence interval then?
>
>Anybody with an idea?
>
>Thanks in advance
>
>Nils Riemenschneider
>
>
>
>Sent via Deja.com http://www.deja.com/
>Before you buy.
>
>
>=
>Instructions for joining and leaving this list and remarks about
>the problem of INAPPROPRIATE MESSAGES are available at
>   http://jse.stat.ncsu.edu/
>=

dennis roberts, educational psychology
penn state university, 208 cedar building
university park, pa USA 16802 ... AC 8148632401
[EMAIL PROTECTED] ... http://roberts.ed.psu.edu/users/droberts/drober~1.htm




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how to calculate stand. err. if sample =50% of population

2000-11-30 Thread riemenschneider

Hello,

who knows an answer to the following question?
Let's assume that I take a sample of e.g. 100 people. I ask them a
question and, e.g. 50% say "yes". I construct a 90%-confidence interval
and get a standard error of 11.6. Fine.

However, this assumes that the population size is unlimited.
If the population was 100, then I would not have any standard error.
However, what if the population size is 200? How do I construct a
confidence interval then?

Anybody with an idea?

Thanks in advance

Nils Riemenschneider



Sent via Deja.com http://www.deja.com/
Before you buy.


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