Final exam Final
exam is scheduled for Tuesday, Dec.17, 9-12, in this classroom.
Please contact me ASAP if you have a problem/conflict.
Exam is closed book and notes, except bring One
sheet of notes (both sides if you want) with anything you want on it.
I'll provide tables. Get handout of
info, and review problems if you haven't.
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Homework: you may hand in late homework
up to the beginning of the exam. After now, to me or under my door.
NO
CAMPUS MAIL! Returned HW will be in usual yellow folder outside
my door.
~~~~~~~~~~~~~~~
Please fill out an evaluation, return it to
the ENVELOPE circulating or on the projection cart.
Questions on HW, others:
Exam 3
comments
What we studied::
[Data Analysis: description and exploration]
[Data Production: Sampling, Designing
Experiments]
[Statistical Inference: formal Estimating and Testing--quantifying our
uncertainty and satisfying the skeptic]
Anything you'll meet will fall into one of those categories--
Fancy ways of torturing a data set to make it give up
its secrets--"data mining," subtle and complex summary methods
Sophisticated experimental designs
Estimations (usually intervals) , tests (P-values, "significant
at") based on other parameters
"If your only tool is a hammer, every problem looks like a nail."
Studies are often set up so that they can be analyzed using certain techniques.
Conversely--if you want to do statistical inference, you'd better
know what statistical processes you want to use, and design your study
so those processes are appropriate. Don't expect to just gather data
and then figure out how to do statistics on it (not that this isn't done--all
too often!) If you've got nails, you need a hammer, if you have screws,
you need a screwdriver. It's not too hard to create data sets for
which good inferential techniques don't exist!
More time? Look at these problems, with a neighbor.
Decide what to do. (These are a good addition to review problems)
p. 424, # 7.68
p. 424, # 7.69, part b.
p. 426, middle--problems 74, 75, 76.
The end!
Good luck!
| Were assigned:
p. 400, 7.33 Math sublimina. (SPSS) This is a complicated design: matched pairs, then 2-sample on the differences! But notice chicks (7.35 ) was also matchedpairs--weight gain =after-before--but they gave us the pre-subtracted numbers. p.410, 7.45 fitness Do b. Then Look in the back at the answers for a and b. p.422, 7.63 pasture fertilization (SPSS) p.423 7.67 London bus people p.425 7.72 reading biology |
| Sievers home | Math151-Fall02/Day-42.htm | 4pm | 12/9/02 |