When stating that “95 out of 100 times…,” wouldn’t the only way we could be completely accurate is to include all possible combinations of sample size X?

 

Although I use a shortened version for regular use—similar to “with 95% confidence, we believe the parameter is between LL and UL”—when I explain the theory to students initially (and repeatedly), I explain it the following way:

-          If we collected every possible combination of sample size X and created a confidence for each sample, 95% of the time, the population parameter would be between the lower and upper limits.  The other 5% of the time, the confidence interval would not capture the population parameter.

 

Obviously, if we had every possible combination of sample size X, we would have the population data and wouldn’t need to do any inferential statistics.  But, for teaching purposes, I think the way I state it is accurate.

 

What do you think?

 

Fred

 

From: A UK-based worldwide e-mail broadcast system mailing list [mailto:[log in to unmask]] On Behalf Of Nicola Novielli
Sent: Friday, October 30, 2015 12:39 PM
To: [log in to unmask]
Subject: Re: [allstat] 95% confidence interval: best description.

 

I mainly agree with Martin. However, i think both definitions are incomplete and miss some points. 

 

I ask whether the definition should describe or interpret a confidence interval: the first case looks like an extremely simplified attempt to describe a CI (regardless whether using frequentist, classic or whatsoever theoretical franework); the second looks like an attempt to give an interpretation to a CI. 

 

In both cases some points are missing:

- the parameter is a sample mean ( not a population mean) ?

- don't forget the role of the power (calculation of CI if functional to hypothesis thesting, that is a diagnosis with 2 types of errors) ?

- what about the distribution of the population ? And the sample size?

... 

 

This is to say that attempts to simplify complex things may produce misleading (or incomplete) definitions. On the other side even complex stuff must be shared with professionals from other disciplines (who may be more interested in interpretation than definition).

 

I guess whether it is more interesting to know that "Pinocchio is a wood-carved puppet", or listen to some of his adventures.

 

Hope I didn't go off topic! 

Have a nice w.e.

Nicola Novielli

 


Sent from my iPhone


On 30 Oct 2015, at 16:39, Martin Bland <[log in to unmask]> wrote:

I don't like 1) because it simply repeats the word confidence without explaining it.  I don't like 2) because if the experiment were carried out 100 times we might get 95 intervals which include the population value, we might get 94, 96, etc.  

 

I would say that a 95% confidence interval is a range of possible values which we estimate to contain the required quantity, calculated so that if were to repeat the sampling many times, 95% of intervals thus calculated would include the required quantity.  That is strictly a frequentist view, but non-frequentists calculate credible intervals instead and we should keep the two things clear.

 

Martin

 

 

On 30 October 2015 at 12:29, John Sorkin <[log in to unmask]> wrote:

I would appreciate thoughts about the following two descriptions of a 95% CI:

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For a given parameter X, a 95% CI round X is:

1) A range of values which we can say with 95% confidence contains the true value of the parameter.

2) A range of values constructed such that if an experiment is conducted 100 times, 95% of the time X will lie with the range.

 

I would welcome comments of the above descriptions, and any better descriptions that you might have.

 

Thank you,

John

 

John David Sorkin M.D., Ph.D.
Professor of Medicine
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University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine
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