STAT 501
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Fall 2009
Instructor: Dr. Shannon Knapp (email)
Textbook: Moore,
McCabe and Craig, Introduction to the Practice of Statistics, 6th Edition
(required)
Office Hours HAAS 114, Office Phone: 496-9541
·
Scheduled (subject to change) Scheduled
office hours are on a walk-in basis: no
appointment needed!
o
Tuesdays at the
following times
·
10:30
a.m. noon Canceled on Nov. 24th
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1
p.m. 2:30 p.m. Canceled on Nov. 24th
·
4:30
p.m. 5:30 p.m. Canceled on Nov. 24th
o
Additional Hours
·
Wednesday
9/2: 2:30 p.m. 5 p.m.
·
Sunday 9/27: 1 2:30 p.m. and 5 6 p.m.
·
Monday 9/28: 3:30 5 p.m.
·
Thursday 10/1:
10:30 11:30 and 1:30 2:30
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Sunday 11/8: noon 2:30 p.m. and 4:45 6 p.m.
·
Thursday 11/12:
10:30 - noon
·
By Appointment: Appointment policy. Appointments may be made by email and should
be requested at least 24 hours prior to the requested time. In your email you must include (1) the times you are available to meet, and (2) a
cell-phone number.
Course Links
·
Syllabus Revised: September
16, 2009
·
Blackboard Vista
Lecture Notes, Solutions to Homework and Exams
·
Software Remote Remote access to
SAS (etc.)
·
Website for
Textbook: Introduction to the Practice of
Statistics
Exams
·
Exam 1: Monday, September 28th, 8 9:15 p.m.
location: RHPH 172
·
Exam 2: Monday, November 9th, 8 9:15 p.m. location
change: PHYS 114
·
Final Exam: Monday, December
14th, 8 10 a.m., in LILY G126. I do not give early finals for early
travel/vacation, so please do not ask. There will not be a take-home SAS
portion of the final
Other Important Dates
There
will be no classes (or office hours)
held on the following days:
·
Tuesday, October
13 - October Break
·
Thursday, October
15 - compensation for evening exam
·
Tuesday,
November 24 compensation for evening exam
·
Thursday,
November 26 - Thanksgiving
Homework
Solutions to homework assignments will be posted on the course
Blackboard (WebCT/Vista) site, usually within 24 hours of when the assignment
is due.
A reminder for all homework assignments Please do not hand-in any
unlabelled, unedited, or excessive SAS output.
Include in your write-up only those results that are necessary to
present a complete solution. In
particular, questions must be answered in order (including graphs and SAS
output), and all graphs must be fully labeled (main title should include
question number and all axes should be labeled). Dont forget to put all necessary information
(see Syllabus) on the first page.
Data sets for the problems in the textbook are available on the CD that
accompanies the book as well as at http://www.whfreeman.com/ips6e
Homework should be submitted in class during the section in which you
are enrolled!
I will not accept homework by email.
Unless otherwise noted, homework
will be due at the beginning of class.
|
Assignment |
Lectures Covered |
Additional Files |
Due* |
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through
Lecture #1 |
Thurs.
Sept. 3 |
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|
through
Lecture #2 |
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Thurs.
Sept 10 |
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through
Lecture #3 |
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Thurs.
Sept 17 |
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through
Lecture #4 |
Thurs.
Sept 24 |
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through
Lecture #7 |
Thurs.
Oct 8 |
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through
Lecture #9 |
Thurs.
Oct 22 |
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through
Lecture #10 |
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Thurs.
Oct 29 |
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|
through
Lecture #11 |
Problem
1: Article
1, Article
2 Problem
2: Article Problem
7: Hint/Help |
Thurs.
Nov 5 |
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|
through
Lecture #13 |
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Thurs.
Nov 19 |
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through
Lecture #15 |
Thurs.
Dec 3 |
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HW
#11 |
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tentatively
due: Thurs. Dec 10 |
* Unless otherwise noted, homework will be due at the beginning of
class.
Understanding how your homework assignment was graded (link)
Lecture Notes
|
Lecture |
Topic (Text Sections) |
Additional Handouts |
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Introduction
to Variables and Displaying Distributions with Graphs (Chapter
1 Introduction and Section 1.1) |
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Describing
Distributions with Numbers (1.2) |
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Normal
Distribution (1.3) |
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Binomial
Distribution (5.1) |
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Sampling
Distributions (3.2, 5.1, 5.2) |
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Point
Estimates and Confidence Intervals (3.2, 3.3, 6.1) |
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Introduction
to Hypothesis Testing (6.2, 6.3, 6.4) |
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Inference
for mu when sigma unknown (7.1) |
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Comparing
Population Means (2.6, 7.1, 7.2) |
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Inference
for a Population Proportion p (8.1) |
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Chi-Square
Tests (2.5, 9.1, 9.2) |
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ANOVA
(12.1) |
supplement:
Conceptual review of t-tests supplement:
Making a
"Fancy" Individual Value Plot in SAS |
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ANOVA
Multiple Comparison Procedures (12.2) |
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Scatter
plots (2.1) |
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Correlation
(2.2, 10.2) |
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Simple
Linear Regression (2.3, 2.4, 10.1, 10.2) |
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Regression
Inference (2.3, 2.4, 10.1, 10.2) |
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Lecture
18 |
Regression
Diagnostics |
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