Stat 401: Statistical Analysis

Spring 2009, University of Idaho, Section 01, CRN 43722

Instructor: Brian Dennis
Professor, Department of Statistics
316 Phinney, 208-885-7423, brian@uidaho.edu

Office hours: 1:30-3:00PM Mon, Tues, Wed, Thur

Meeting times & places:
Lecture: MWF 9:30-10:20AM TLC 30

Textbook:
Ott, R.L. & Longnecker, M. 2001. An Introduction to Statistical Methods and Data Analysis, Fifth Edition. Duxbury, Pacific Grove, CA.

Other materials:
You should bring a scientific calculator (w/ memory, square root, logarithms) to tests.

Stat Assistance Center (SAC): 329 Commons, 885-4683, for help with this course

Statistics Consulting Center (SCC): Call 885-2929 for an appointment, for statistics advice concerning research or thesis

Grades:
Based on 600 possible points, 90% A, 80% B, and so on

Three tests (open book), 100 points each
One comprehensive final (open book), 100 points
Four take-home computer-aided assignments, 50 points each

Kidney function data

Assignment Four

County demographics data

Exercises assigned, but not graded (selected exercises may appear on tests)

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 Statistics policy, no student may reschedule the final exam without permission of the Department Chair.

SAS documentation:

Introduction to SAS

SAS online documentation

All the SAS examples you could possibly want

UCLA SAS starter kit

Introduction and documentation for PROC MIXED

SAS examples for class:

summary statistics

batting average simulation

two-sample t-test example

analysis of variance example

two binomial proportions example

multinomial model example

two-way table example

homogeneous proportions example, PROC FREQ

homogeneous proportions example

linear regression example

linear regression with GPLOT graphics

multiple regression example one

multiple regression example two

AOV by regression example

logistic regression example

simple random sample example

AOV power calculation example

randomized complete block design

Latin square design example

two-factor AOV example

unbalanced AOV example

three-factor AOV example

analysis of covariance example

generalized linear models examples:

Poisson regression

Gamma distribution

random and mixed effects examples:

random effects ex 1: PROC GLM

random effects ex 2: PROC MIXED

mixed effects example

MINITAB documentation:

Intro Handbook by Minitab, Inc

Georgetown University MINITAB intro

Course evaluations

Topics & Readings (these might change! check back often)

Jan 14
introduction

Jan 16 Ch 4
probability

Jan 19
no class, university closed

Jan 21
probability

Jan 23
probability distributions, continued

Jan 26
Getting started with SAS

Jan 28
sampling distributions

Jan 30 Ch 5
inferences for central values

Feb 2
inferences for central values, continued

Feb 4

no class (out of town)

Feb 6

no class (out of town)

Feb 9 Ch 6

inferences for comparing two central values

Feb 11
inferences for comparing two central values,continued

Feb 13 Ch 7
inferences about

Feb 16

no class, university closed

Feb 18 Ch 8
1-way AOV

Feb 20
1-way AOV

Feb 23
Test 1

Feb 25 Ch 9

multiple comparisons

Feb 27

multiple comparisons

Mar 2
inferences for non-normal models

Mar 4

categorical data

Mar 6

categorical data

Mar 9

categorical data

Mar 11

categorical data

Mar 13

no class

Spring Break!

Mar 23 Ch 11

linear regression

Mar 25

linear regression

Mar 27
linear regression

Mar 30 Ch 12

multiple regression

Apr 1

Test 2

Apr 3
multiple regression

Apr 6 Ch 13
model selection

Apr 8
non-normal regression

Apr 10 Ch 14

Apr 13 Ch 15
randomized complete

Apr 15

Apr 17
Test 3

Apr 20

Apr 22

AOV unbalanced & 3-way

Apr 24 Ch 16

analysis of covariance

Apr 27

general linear model

Apr 29

general linear model

May 1

general linear model

May 4
generalized linear models (GLIM)

May 6
mixed effects models

May 8

Final exam occurs in the scheduled final exam period, Wednesday, May 13, 10:00AM-12:00PM

Items for further interest and enjoyment

Statistics-related links and resources

The amazing, free R language for statistics, graphics, and computing

Dallal’s essay on why significance level is 5%

Brian’s essay on Bayesian statistics

Scientists on medical & health practices (If it talks like a quack, and bills like a quack, it probably is a quack)

Accupuncture study

Science based medicine

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 death-bed 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

Panda’s thumb

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 well-established 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 316:1427-1428), of Michael J. Behe’s book

The Edge of Evolution: The Search for the Limits of Darwinism.

Statisticians analyze the 2004 U.S.A. presidential election

Exit poll discrepancy analyses

Scientists on climate change research

Spencer Weart’s history of global change research (plus many fine links)

LaTeX resources

Introduction to LaTeX (sci/tech typesetting)

Comparing public, private, and charter schools with NAEP data

Lubienski study

NAEP/US Department of Education analysis

Postmodern comedy: which of the following articles is a (deliberate) parody?

A. Deconstructing the evidence-based discourse in health sciences: truth, power and fascism

B. Transgressing the boundaries: towards a transformative hermeneutics of quantum gravity

Answer is here