Compare with your neigbors:
your answers to the homework:
Compare answers to the sheet
of answers to test problem 2 (significance, p-value).
Discuss the choices you made
for problems 74, 75, 76, and the conclusions you came to.
**Final Exam is
scheduled for evening, 7-10 Monday Dec. 17.
Alternative times (choose 1, or to come at the above scheduled time--sign
up NOW. Email me if you must change.)
1-4 Monday, Dec. 17
9:30-12:30 Wednesday Dec. 19.
Place: Monday afternoon= Macmillan 100 (turn
right as you enter the basement door). Other times= usual classroom.
Comprehensive, with special attention on Ch.7.
Closed book, but: You may bring one sheet of paper with notes (both sides).
The exam will be similar in style to the midterms, a mix of multiple choice,
computation, written answers. About 1 1/2 to 2 times the length of
a midterm. You should not need the whole 3 hours but you may have
it if you like. If you plan to start late, please let me know
ahead of time so I don't worry about you.
My availability:
This afternoon, till about 4:30.
Thursday 1 - 4
Not Friday
Monday: Help session, in the classroom, 11-12. (If nobody comes
by 11:10, I'll return to my office)
On campus from about 10:30-evening.
Wednesday 9:30-1
I'll be on campus: If I'm not in my office (Mac 102), I'm
probably in Mac 101 or will leave a note on the door. Email or phone
me to be sure of finding me.
~~~~~~~~~~~~~~~~~~~~~
HW questions?
Test question 2: D Correct
and complete: (mostly. I would change the second "results" to "actual
values in the population")
O correct and complete (but I'm prejudiced. I wrote it)
P correct but doesn't tell me what the "significance" or ".05" are for.
All the rest missed or misapplied some crucial aspect: We need:
The 5% applies to repeated samples of the same
size we could in theory take (but don't take) from the populations.
The 5% is the proportion of the samples that
would show a difference this big if the null hypothesis, that
there is no difference, is true. That is, the probability
that we would see a difference in our sample this big "by chance" when
there really is no difference.
Because this result is unlikely if there is no
difference in the population, we take it as evidence that there really
is a difference of the sort the sample shows.
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]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Optional problems to study with: bottom of Day
41
Good luck!
SRS
| Sievers home | Math151-Sp01/DayS42.htm | 12/12/01 |