Instructor: Brian Dennis
Professor, Department of Statistical
Science
316 Phinney,
2088857423, brian@uidaho.edu
Office hours: 1:303:00PM Mon, Tues, Wed, Thur
Meeting times & places:
Lecture: MWF 9:3010:20AM TLC 046 (not
45; course was moved to a bigger room)
Textbook:
Ott, R.L. & Longnecker,
M. 2010. An Introduction to Statistical Methods and Data
Analysis, Sixth Edition. Brooks/Cole, Belmont, CA.
Other materials:
You should bring a scientific calculator (w/ memory, square root, logarithms)
to tests.
Other resources:
Stat Assistance Center
(SAC): first floor Library, 8852929, for help with this
course
Statistics Consulting Center
(SCC): Call 8852929 for an
appointment, for statistics advice concerning research or thesis
Grades:
Based on 600 possible points, 90% A, 80% B, and so on
Makeup
tests: Makeup tests will not be given, except for legitimate
scheduled university activities or grave, urgent reasons. Prior
arrangements with instructor are required.
Final exam rescheduling: By Department of Statistical Science policy, no
student may reschedule the final exam without permission of the Department
Chair.
Outcomes:
Students successfully completing this course will be able to conduct and
interpret standard statistical analyses used in research, including multiple
regression, analysis of variance, analysis of covariance, analysis of
categorical and other nonnormal data, as well as to plan sample sizes and
allocations for basic designs and surveys.
SAS documentation:
Introduction to SAS (dated, but informative for ordinary uses of SAS)
All the SAS examples you could possibly want
Introduction and documentation for PROC MIXED (pdf of nowdefunct but informative website at Univ Kentucky)
The amazing, free R language for statistics, graphics, and computing
SAS examples for class: R examples:
summary statistics summary statistics
batting average simulation batting average simulation
onesample ttest example onesample ttest example
twosample ttest example twosample ttest example
two binomial proportions example
homogeneous proportions example, PROC FREQ
homogeneous proportions example
linear regression with GPLOT graphics
multiple regression example one
multiple regression example two
randomized complete block design
analysis of covariance example
generalized linear models examples:
random and mixed effects examples:
random effects ex 2: PROC MIXED
MINITAB documentation:
Intro Handbook by Minitab, Inc
Georgetown University MINITAB intro
Topics & Readings (might change!) 

Aug 26 
Aug 28 Ch 4 
Aug 30 
Sep 2 no class: Labor Day university closed 
Sep 4 
Sep 6 Getting started with SAS 
Sep 9 Getting started with R 
Sep 11 
Sep 13 Ch 5 
Sep 16 inferences for central values, continued 
Sep 18 Ch 6 
Sep 20 comparing two central values, continued 
Sep 23 Ch 7 
Sep 25 Ch 8 
Sep 27 
Sep 30 Test 1 
Oct 2 Ch 9 
Oct 4 
Oct 7 inferences for
nonnormal models (& corresponding sections of Chapter 8) 
Oct 9 Ch 10 
Oct 11 
Oct 14 
Oct 16 
Oct 18
Ch 11

Oct 21 
Oct 23 
Oct 25 Test 2 
Oct 28 Ch 12 
Oct 30 
Nov 1 Ch 13 
Nov 4 
Nov 6 
Nov 8 Ch 14 
Nov 11 
Nov 13 Ch 15 
Nov 15 
Nov 18 Test 3 
Nov 20 
Nov 22 Ch 16 
Fall Break!
Dec 2 
Dec 4 
Dec 6 generalized linear models (GLIM) 
Dec 9 
Dec 11 mixed effects models 
Dec 13 
Final exam occurs in the scheduled final exam period, 10AM12noon, Tuesday, Dec 17. (No earlier reschedules will be allowed). 
Items for further interest and enjoyment
Statisticsrelated
links and resources
Dallal’s essay on why significance level is 5%
Brian’s essay on
Bayesian statistics
Aaron
and Brian’s essay on statistics education for ecologists
Scientists on medical & health practices (If it talks like a quack, and bills like a quack, it probably is a quack):
Paranormal/supernatural phenomena:
Committee for Skeptical Inquiry
The Last Will and Testament of Philip
J. Klass
To UFOlogists
who publicly criticize me…or who even think unkind
thoughts about me in private,
I do hereby leave and bequeath THE
UFO CURSE: No matter how long you live, you will never know
any more about UFOs than you know today.
You will never know any more about what UFOs really
are, or where they come from. You will
never know any more about what the U.S. Government really
knows about UFOs than you know today. As
you lie on your own deathbed you will be as mystified
about UFOs as you are today. And you will
remember this curse.
— Philip J. Klass, prominent UFO skeptic, posted on a UFO discussion site shortly before his death
Scientists on evolution, intelligent design, biblical creation:
Dover trial transcripts (read what scientists and “cdesign proponentists” say under oath)
Department of Biological Sciences, Lehigh University
The continuing futile attacks by
evolution’s opponents reminds me of another legendary confrontation,
that between Arthur and the Black Knight
in the movie Monte Python and the Holy
Grail. The Black
Knight, like evolution’s challengers,
continues to fight even as each of his limbs is hacked off, one by
one.
The “no transitional fossils” argument and the “designed genes” model
have been cut clean off,
the courts have debunked the “ID is
science” claim, and the nonsense here about the edge of evolution
is quickly sliced to pieces by
wellestablished biochemistry. The
knights of ID may profess these blows
are “but a scratch” or “just a flesh
wound,” but the argument for design has no scientific leg to stand on.
— Sean B. Carroll, in a review (2007 Science 316:14271428), of Michael J. Behe’s book
The Edge of Evolution: The Search for the Limits of Darwinism.
National Science Teachers Association
Statisticians analyze USA elections:
Exit poll discrepancy analyses (2004 USA presidential election)
(How the 2004 election fraud was committed: A. B.)
Prima facie evidence of criminal voteflipping with computerized voting machines
Scientists on climate change research:
Spencer Weart’s history of global change research (plus many fine links)
LaTeX (science/math/tech typesetting) resources:
Comparing public, private, and charter schools with NAEP data:
NAEP/US Department of Education analysis
Education "Rheeform" makes things worse
Postmodern comedy: which of the following articles is a (deliberate) parody?
A. Deconstructing
the evidencebased discourse in health sciences: truth, power and fascism
B. Transgressing
the boundaries: towards a transformative
hermeneutics of quantum gravity
And of course, no statistics course website would be complete without:
Todd Snider "Statisticians Blues"