Quoting [EMAIL PROTECTED]:
> HELLO OUT THERE!
>
> OK - here's a question I have been chewing on. I teach a 9 week
> accelerated
> undergraduate statistics class for nontraditional college students (PACE
> program). This is my second time through and the body count is rising. I
> was wondering if there are two many topics covered in too little time.
> This
> class seems much more intensive than the graduate school "baby stats" class
> I
> took my master's year -- but it's likely that that class was watered down
> some. This is what I cover in an essentially 1-semester class:
>
> Data types and representation
> Central tendency
> Variability (IQR, Percentiles & SD)
> z-scores and testing
> t-scores and testing
> ANOVA (one factor only)
> Chi Square
> Correlation and simple linear regression
>
> I am following the syllabus of the colleague who preceded me. I would like
>
> some other points of reference. Please feel free to contact me off-list.
> Is
> this too much, or is it the standard bill of fare?
>
> Nancy Melucci, Ph.D.
> Torrance, CA
>
The outline sounds very reasonable to me, for a one-semester course, assuming
the depth of coverage is appropriate (I'm sure it is). One reason for the body
count is the compressed 9 week semester. During a regular 14 or 15 week semester
students have time to decompress, seek extra help, and so forth. It's also
possible that nontraditionals are more entrenched into the attitude that "I
can't do this."
Instead of deleting topics, maybe a compromise might be "demoting" a few
topics to total cookbook. Only the t test, r and simple ANOVA in any depth, and
cookbook the rest. Good luck!
----------------------
John W. Kulig
Plymouth State College
Plymouth NH 03264 USA
http://oz.plymouth.edu/~kulig
[EMAIL PROTECTED]
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