|Date: ||Tue, 20 Jun 2006 17:14:47 -0400|
|Reply-To: ||Doc Muhlbaier <lawrence.muhlbaier@DUKE.EDU>|
|Sender: ||"SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>|
|From: ||Doc Muhlbaier <lawrence.muhlbaier@DUKE.EDU>|
|Organization: ||Duke University, Durham, NC, USA|
|Subject: ||Re: What is Differnce Between Continous and Discrete Lab Variables|
Same as in mathematics. Continuous data can, conceptually, have an infinite
number of values and between any two values, there can be an infinite number
of divisions (In math-speak, the data are of order alef-1 (alef is the
letter in the Hebrew alphabet that looks like a script N).). Discrete data
may, or may not, have an infinite number of values; discrete data are at
most of order alef-0.
Because of measurement constraints, any lab value is, in a practical sense,
discrete. Continuous lab data can have an infinite number of possible
values, even though we can only measure them with limited precision.
Discrete data can be on an interval scale (the integer part of a person's
height in feet), an ordinal scale (grade of angina), or a nominal scale
(Hair Color). In practice, discrete just means a limited number of choices.
Note, continuous lab data often comes with a discrete component. Often you
will see "<1" or ">100,000," which generally represents the litations of the
equipment used to make the measurements.
"Sami" <email@example.com> wrote in message
> What is Differnce Between Continous and Discrete Lab Variables?