Hi all,
First up, the purpose I have at hand is to make interpolations for
percentages of students who have achieved above a certain score on a
test (where this score may lie between two discrete score points on the
scale).
It seems to me cumulative frequencies should be plotted at the exact
upp
On Sat, 20 May 2000 10:08:16 GMT, [EMAIL PROTECTED] (Manni Heumann)
wrote:
>Hi!
>
>We are doing research in visual perception. To measure subjects ability two
>perceive certain stimuli we computed d' or ds. But these measures only provide
>information about the ability to detect one signal.
>W
In article <[EMAIL PROTECTED]>,
Neil <[EMAIL PROTECTED]> wrote:
>I was wondering what the standard deviation means exactly?
>
>I've seen the equation, etc., but I don't really understand
>what st dev is and what it is for.
I'm going to take a different tack to that Herman has taken.
If I tell
There are a couple of (practical) features of the standard deviation that are
worth noting.
First, as a *descriptor* of the variation in a distribution, it is generally not
very good. I mean this is the sense that if you want to visualise the amount of
variation in a distribution the SD is only u
In article <[EMAIL PROTECTED]>, [EMAIL PROTECTED]
says...
>
>Dear fellow newsgroupers;
>I am trying to find suitable software for quality control analysis
that
>my manager is about to conduct. I had not used SAS/QC software but have
>used S-Plus for graphics and find
>that S-Plus is quicker for
Dear fellow newsgroupers;
I am trying to find suitable software for quality control analysis that
my manager is about to conduct. I had not used SAS/QC software but have
used S-Plus for graphics and find
that S-Plus is quicker for graphics. I understand that S-Plus has a DOX
module and was
wonder
In article <[EMAIL PROTECTED]>,
Neil <[EMAIL PROTECTED]> wrote:
>I was wondering what the standard deviation means exactly?
>I've seen the equation, etc., but I don't really understand
>what st dev is and what it is for.
>I am not a statistician as you can tell...
Even if you were, you might k
