Statistics
Category 4 3 2 1 0
Amount of
Material*
It is conceivable this
would take you at least
7 minutes to present on
your own, and at least 5
minutes for each
additional group
member.
Your content falls about
1 minute short.
Your content is between
2-3 minutes short
Your content is less than
4 minutes worth. You have no content.
Content of
Material
All background material
(including any biases and
citations) is clearly
documented in your
project. This should
include how you
collected the data (exact
phrasing of questions,
who you asked, etc) if
you collected your own
data.
Most of your
background is explained,
but it is not clearly
articulated or is in some
way incomplete. For
example, you discuss
where you got the data,
but forget to discuss
their bias, even if you
feel they have none, you
need to state this.
Some of the material
was discussed, but not
all. In general, 50% or
less was detailed. For
example, you may have
been discussing student
grade distribution but
fail to discuss what class
these grades are from.
The data you have
collected (either yourself
or via some other
medium) is not
appropriate for the test
you chose to do.
Any material is
plagiarized.
Realize that if any of this is unclear, you are welcome to ask questions up until the project is due. At that point, it is assumed all directions were
clear.
Points Awarded
Statistics/
parameters
All statistics and/or
parameters used,
estimated, or found
during this analysis are
clearly outlined, labeled,
and appropriate/correct.
Most of your
statistics/paramters
(roughly 75% or more)
are labeled clearly and
are correct.
Roughly half of your
statistics/parameters
are correct and
accurately labeled.
Some of your
statistics/parameters
are correct; some of the
statistics/parameters
are labeled, however,
most of them are
incorrect and/or labeled
inappropriately.
You have no
statistics/parameters, or
they are all incorrect.
Work
The work you show is
accurate, appropriate to
the course, and is well
documented (i.e. all
steps are shown and
shown clearly). It is easy
to follow what you are
doing and why.
Most of your work is
clear and your reasoning
is sound, but perhaps
there is an error that
that makes a portion of
your analysis invalid.
Roughly half of your
work is clear and/or
accurate, but there are
some major issues that
bring your analysis into
question.
All material comes from
other sources, i.e. no
original content.
However, it is cited
properly.
No statistical analysis
was completed.
Otherwise, certain
analysis was described,
but never done.
Conclusion
Your conclusion is clearly
labeled, accurate to your
analysis, and wraps up
all of your initially posed
questions (though it may
propose questions for
further research). This
conclusion should be
able to be understood
by someone who has
never encountered
statisics in a formal
setting. In other words,
do not use technical
phrases such as
"confidence interval"
rather, explain what this
tells us; a so-what
factor.
The conclusion
summarizes the project
well, with minor flaws or
adjustments necessary.
There are minimal
inaccuracies in
interpretations and no
major pieces were left
unresolved.
A conclusion is given
that somehwat
summarizes what
happened in the project,
but is perhaps slightly
unapproachable, or
otherwise inconsice.
Brevity and accuracy are
perhaps low. Or
otherwise, there are an
unhealthy level of
inaccuracies or
unresolved questions.
A conclusion is implied,
but not stated or there is
a conclusion that has
much technical jargon
and is considered
unapproachable to
someone who has no
statistical background.
No conclusion is given;
project is incomplete or
is unintelligible.
Bonus points may be awarded at instructor's discretion.
*Mostly this will be based on reading times for myself. You know that I speak a little quickly, so be sure to have enough material. It is also
worth noting, that you are *not* presenting this presentation you are preparing, make sure that you have a written script of what you might
have said to accompany a sparse power point. [There is actually a built in feature for PowerPoint to do this, if you would like me to show you
how.]