Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

RE: st: RE: estimate 95%CIs of the mean for different sample sizes


From   Miranda Kim <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: estimate 95%CIs of the mean for different sample sizes
Date   Thu, 10 Jun 2010 12:23:25 +0100

Thanks for this Nick, very helpful.
Best wishes,
Miranda

----------------------------------------
> Subject: RE: st: RE: estimate 95%CIs of the mean for different sample sizes
> Date: Thu, 10 Jun 2010 11:39:58 +0100
> From: [email protected]
> To: [email protected]
>
> If you bootstrap you have to invent extra methodology for contracting or
> expanding to different sample sizes other than that in hand. The results
> you get then conflate side-effects or variability associated with that
> methodology with those of bootstrapping. That doesn't sound crazy, but
> it sounds like an elaborate exercise for what seems like a fairly simple
> question. Also, I think you would have to explain in a bit of detail
> what you're doing. All sounds a bit over the top to me, but it's your
> problem.
>
> With -cii- you could say I have this mean and standard deviation; what's
> the effect of changing the sample size? In fact, you don't need -cii- to
> do that, as it's an elementary calculation; but if a calculator would
> serve in place of -cii-, then so also -cii- would serve in place of a
> calculator.
>
> Nick
> [email protected]
>
> Miranda Kim
>
> I had in mind something like bootstrap originally, but am not sure what
> method is most appropriate in this case. The purpose is to see what
> precision is obtained for different sample sizes.
>
> Nick Cox
>
>> -cii-
>
> Miranda Kim
>
>> I have data for a sample of 300 which is approximately normally
>> distributed (slightly skewed). I would like to derive 95% confidence
>> intervals around the estimate of the mean for sample sizes of 50, 80,
>> 100, 150, and 400.
>> Does anyone have any suggestions what command I can use to do this?
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/ 		 	   		  
_________________________________________________________________
http://clk.atdmt.com/UKM/go/197222280/direct/01/
Do you have a story that started on Hotmail? Tell us now
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index