Thank you very much for you reply. I wish to compare the means of my data 
with the norms established by the test. The particular memory test I am 
using is the Wechsler Memory Scale-III which was co-normed with the WAIS-
III. Each scale of the WMS-III (General Memory, Recognition Memory Visual 
Memory) has a mean of 100 and a SD of 15.  I would like to compare the 
results from my data set (actually means from each scale) against those 
norms.  I had assumed that a One-Sample T would be appropriate. To do a Z 
I was thinking I need the N of the normative sample (A huge stratified 
sample based on US census data). However my N is 50 and differences in N 
would be huge.  Uncomfortable with that I felt that a one sample T sould 
be more appropriate since the normative data set against which it is 
being compared is so large and appears to represent the general 
population so well.  As I look at the results printing out on SPSS, I am 
seeing seeing significant differences but am also wondering if there is a 
flaw in my statistical logic.




[posted and mailed]

[EMAIL PROTECTED] (Jay Warner) wrote in [EMAIL PROTECTED]:">news:[EMAIL PROTECTED]:

> May I ask, how you _know_ that the stdev = 15?  Did you set it this
> way?  Do you have lots of data to show it so?
> 
> I'd like to suggest that you can only _estimate_ stdev from "external"
> or "internal" data.  the former is when it comes from elsewhere, the
> latter when it comes from the data under analysis.  In the former case
> we have no way of establishing the confidence of the estimate, so we
> take it as "known" and use a z test.
> 
> However you 'normalize' your data, it looks to me that you are
> estimating the stdev from the data under review - thus, an internal
> estimate. 
> 
> If so, then you will wind up with a t test.
> 
> If you choose to compare a data sample against a 'norm' then you have
> a one-sample test.
> 
> Thus, a one sample t test.  QED.
> 
> If you normalize your data to reach a mean of 100 and a stdev of 15,
> are you not 'giving away' some information?  I believe a recent post
> here advised against excessive 'normalizing' and other manipulations
> of the data not related to the nature of what was being measured - the
> technology.  Whether or not your situation qualifies as 'excessive'
> only a knowledge expert can tell, I believe. 
> 
> Cheers,
> Jay
> 
> Christopher Larsen wrote:
> 
>> I am looking at doing an analysis of some data on memory performance
>> on a standardized test of recall memory. The norms on each scale of
>> the test are 100 with a standard deviation of 15. I am wanting to
>> compare my data set to the normative data. Which would be a superior
>> test to use, a Z test or a One Sample T-Test???
>>
.
.
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