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
