I reformatted this.

Quoting a letter from Carmen Cummings to himself,
On 6 Apr 2001 08:48:38 -0700, [EMAIL PROTECTED] wrote:

>     The below question was on my Doctorate Comprehensives in
> Education at the University of North Florida.
> 
>     Would one of you learned scholars pop me back with 
>possible appropriate answers.

============ the question
An educational researcher was interested in developing a
predictive scheme to forecast success in an elementary statistics
course at a local university. He developed an instrument with a
range of scores from 0 to 50. He administered this to 50 incoming
frechmen signed up for the elementary statistics course, before
the class started. At the end of the semester he obtained each of
the 50 student's final average. 

Describe an appropriate design to collect data to test the
hypothesis. 
============= end of cite.

I hope the time of the Comprehensives is past.  Anyway, this
might be better suited for facetious answers, than serious ones.

The "appropriate design" in the strong sense:  

Consult with a statistician  IN ORDER TO "develop an instrument".  
Who decided only a single dimension should be of interest?  
(How else does one interpret a score with a "range" from 0 to 50?)

Consult with a statistician BEFORE administering something to --
selected?  unselected? -- freshman; and consult (perhaps) 
in order to develop particular hypotheses worth testing.  
I mean, the kids scoring over 700 on Math SATs will ace 
the course,  and the kids under 400 will have trouble.  

Generalizing, of course.  If "final average"  (as suggested) 
is the criterion, instead of "learning."
But you don't need a new study to tell you those results.

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html


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