Members,
I am currently drafting a proposal for an Applied Statistics minor at my
college, Northland College, a private liberal arts/environmental college in
northern Wisconsin. I teach in a mathematics department of four but am the
primary professor of our statistics curriculum. As such, it
Members,
I am considering development of a statistics course that would fulfill only
the liberal arts requirement at our College. This course would not be
required for any major nor would it be a prerequisite for any "advanced"
statistics courses. If any member is familiar with this type of
Members,
Can anyone provide me (a description or a reference will suffice) with a
convincing argument or demonstration of WHY the first eigenvector-eigenvalue
of the variance-covariance matrix represents the direction and magnitude of
the greatest variability in the "cloud of multivariate data"?
Members,
I could use help on two questions that I haven't been able to adequately
answer for one of my students:
1) When performing a multiple linear regression we have examined t-tests for
the null hypothesis that a coefficient is zero. If we examined the tests
for each variable in the model,
