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<div class=Section1>
<p class=MsoNormal><span style='font-family:Consolas'>TO: ASA CO/WY Chapter<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>SUBJECT: Chapter
update<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Hello – I hope this
year has started off well for everyone. The purpose of this note is to
communicate some new activities and opportunities that may be of interest to
the CO/WY chapter. This message contains the following topics:<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span
style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'>
</span></span><![endif]><span style='font-family:Consolas'>POSSIBILITY OF
TRAVELING SHORT COURSE IN ANALYZING CROSS CLASSIFIED CATEGORICAL DATA<o:p></o:p></span></p>
<p class=MsoPlainText style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span
style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><span
style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span style='font-size:11.0pt'>ASA WEBINAR MARCH
18 AT 3:30PM MT 5:30PM ET<o:p></o:p></span></p>
<p class=MsoPlainText style='margin-left:.5in;text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span
style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><span
style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'>
</span></span></span><![endif]><span style='font-size:11.0pt'>UC-DENVER
TEACHING OPPORTUNITY<o:p></o:p></span></p>
<p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span
style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'>
</span></span><![endif]><span style='font-family:Consolas'>UC-DENVER POST-DOC
POSITION OPEN<o:p></o:p></span></p>
<p class=MsoListParagraph style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span
style='mso-list:Ignore'>-<span style='font:7.0pt "Times New Roman"'>
</span></span><![endif]><span style='font-family:Consolas'>DATA MINING
CONFERENCE (AUGUST 2009)<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>##### POSSIBILITY OF
TRAVELING SHORT COURSE IN ANALYZING CROSS CLASSIFIED CATEGORICAL DATA<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>The CO/WY Chapter is
being considered for the traveling short course for Cross Classified Categorical
Data. If we are selected for this course, seats will be limited and the
cost is estimated at $25/student. Please email me (Christopher Nelson at <a
href="mailto:chnelson@du.edu">chnelson@du.edu</a>) if you would be interested
in attending this course. If you have already emailed me expressing
interest in this specific course, there is no need to send another email.
Thanks.<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoPlainText><span style='font-size:11.0pt'><o:p> </o:p></span></p>
<p class=MsoPlainText><span style='font-size:11.0pt'>##### ASA WEBINAR MARCH 18
AT 3:30PM MT 5:30PM ET<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>The next ASA webinar on
K-12 statistics education topics will be held on Wednesday, March 18 at 3:30 MT
(5:30 ET). <o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'> <o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Topic:<span
style='color:navy'> </span>What Data Mining Teaches Me About Teaching
Introductory Statistics<o:p></o:p></span></p>
<p class=MsoNormal><b><i><span style='font-family:Consolas'><o:p> </o:p></span></i></b></p>
<p class=MsoNormal><span style='font-family:Consolas'>What’s the
connection between the Statistics that written about and taught in an
introductory statistics textbook and the statistical analyses that are
performed all throughout the world every day? A fact of life for the Statistics
course is that many people teaching Statistics have little practical experience
with the subject other than what they’ve learned by reading about or
teaching it. How close is the book version of Statistics to real world
practice?<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Data mining is a process
of exploratory modeling of phenomena from very large data sets or databases.
Because of the size of the data, mistakes made by the data miner are often
magnified. The consequences of those innocuous little assumptions about models
that we harp on in our introductory courses suddenly come to life in
frightening ways. Looking at real data mining problems provides a wonderful
lens to examine what we should emphasize and what we might relax in our first
courses. <o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>In this webinar,
I’ll introduce some of the challenges I see in conveying the essence of
what we do in an introductory course. Then I show some real examples of data
mining problems I’ve been involved with and how they can inform us about
teaching in the first statistics course, from the first exposure to concepts in
elementary or middle school through a high school or a 2 or 4 year college
course. No previous exposure to data mining will be assumed.<o:p></o:p></span></p>
<p class=MsoNormal style='text-autospace:none'><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal style='text-autospace:none'><span style='font-family:Consolas'>Presenter:
</span><span style='font-family:Consolas'>Dick De Veaux is Professor of
Statistics at Williams College. Dick holds degrees in Civil Engineering (B.S.E.
Princeton), Mathematics (A.B. Princeton), Dance Education (M.A. Stanford) and
Statistics (Ph.D., Stanford). Before Williams, Dick was an Assistant
Professor at the Wharton School and the Engineering School at Princeton. He has
won numerous teaching awards including a “Lifetime Award for Dedication
and Excellence in Teaching” from the Engineering Council at Princeton.
He has won both the Wilcoxon and Shewell (twice) awards from the American
Society for Quality and was elected a fellow of the ASA in 1998. Dick has
been a consultant for over 20 years for such Fortune 500 companies as
Hewlett-Packard, Alcoa, American Express, Bank One, GlaxoSmithKline, Dupont,
Pillsbury, Rohm and Haas, Ernst and Young, and General Electric. He holds two
U.S. patents and is the author of over 30 refereed journal articles. He is the
co-author, with Paul Velleman and David Bock, of the critically acclaimed
textbooks “Intro Stats”, “Stats: Modeling the World”
and “Stats: Data and Models” all published by Pearson and the
newly published "Business Statistics" with Norean Sharpe and
Paul Velleman. He was named the 2008 Statistician of the Year by the Boston
Chapter of the American Statistical Association. <span
style='color:navy'> <o:p></o:p></span></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoPlainText><span style='font-size:11.0pt'>##### UC-DENVER TEACHING
OPPORTUNITY<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:.5in'><span style='font-family:Consolas'>UC-DENVER
is<span style='color:black'> looking for someone to teach one of our upper
undergraduate courses in Statistics this summer. The description is included
below. The instructor will either need to have a PhD or have published a
peer-reviewed article. This would be a great opportunity for someone wanting to
get a little teaching experience. <o:p></o:p></span></span></p>
<p class=MsoNormal style='margin-left:.5in'><span style='font-family:Consolas;
color:black'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:.5in'><span style='font-family:Consolas;
color:black'>The class is scheduled for 1:15-345pm on Tuesdays and Thursdays
starting June 8th and ending August 1. The pay will be between $4000 and $4500
for the full course. If you are interested, please email <a
href="mailto:Stephanie.Santorico@ucdenver.edu"><span style='color:black'>Stephanie.Santorico@ucdenver.edu</span></a>
(</span><span style='font-family:Consolas'>Phone: 303.556.2547) </span><span
style='font-family:Consolas;color:black'>and be sure to include a CV. Please
feel free to forward or circulate this email.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:.5in'><span style='font-family:Consolas;
color:black'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-left:.5in'><span style='font-family:Consolas;
color:black'>MATH 4830 (3 credit hrs) Applied Statistics. Review of estimation,
confidence intervals and hypothesis testing; ANOVA; categorical data analysis;
non-parametric tests; linear and logistic regression. Prereq: an
introductory course in statistics such as MATH 2830 or permission of
instructor. Cross-listed with MATH 5830<o:p></o:p></span></p>
<p class=MsoNormal style='margin-left:.5in'><span style='font-family:Consolas;
color:black'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>##### UC-DENVER POST-DOC
POSITION OPEN<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Position Title:
Postdoctoral Position in Statistics<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Location: Department of
Mathematical and Statistical Sciences at the University of Colorado Denver<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Required degree: PhD<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Deadline: Application
review beings April 3, 2009<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Please contact
<a href="mailto:Stephanie.Santorico@ucdenver.edu"><span style='color:black'>Stephanie.Santorico@ucdenver.edu</span></a>
for more information. </span><span style='font-family:Consolas'>Phone: (Phone: 303.556.2547).<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>##### DATA MINING
CONFERENCE (AUGUST 2009)<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Salford
Systems' Data Mining Conference 2009</span><span style='font-family:Consolas;
color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>San Diego,
California</span><span style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Conference Dates:<span
class=apple-converted-space> </span><strong><span style='font-family:Consolas;
font-weight:normal'>August 23-25, 2009</span></strong></span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Post-Conference
Training: August 26-28, 2009</span><span style='font-family:Consolas;
color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Don't miss
Salford Systems' 6th International<span class=apple-converted-space> </span><strong><span
style='font-family:Consolas;font-weight:normal'>APPLIED</span></strong><span
class=apple-converted-space> </span>Data Mining Conference, featuring<span
class=apple-converted-space> </span><strong><span style='font-family:Consolas;
font-weight:normal'>real world applications</span></strong><span
class=apple-converted-space> </span>and examples.</span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><strong><span style='font-family:Consolas;color:black;
font-weight:normal'>Beginners</span></strong><span style='font-family:Consolas;
color:black'> to data mining will gain expertise. <strong><span
style='font-family:Consolas;font-weight:normal'>Experienced</span></strong><span
class=apple-converted-space> </span>data miners will have an opportunity
to exchange ideas with other experts in a variety of industries. </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><strong><span style='font-family:Consolas;color:black;
font-weight:normal'>Keynotes and panel discussions will address topics of
current interest in data mining including:</span></strong><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>**The Credit
Crunch: How is Data Mining Helping? Is Data Mining to Blame?</span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>**Finding
Needles in Haystacks: Combating Terrorism, Fraud, and Criminal Activity.</span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>**Advertising,
Politics, Drug Discovery and Telecommunications: How Do These Applications
Benefit from Data Mining?</span><span style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><strong><span style='font-family:Consolas;color:black;
font-weight:normal'>Previous conference presentation topics include:</span></strong><span
style='font-family:Consolas;color:black'> credit risk modeling, targeted
marketing and campaign optimization, analytical CRM, fraud detection, drug
discovery, insurance risk, epidemiology, environmental forecasting, clinical
medicine, proteomics and genomics, and state-of-the-art research from leading
academic institutions.</span><span style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><strong><span style='font-family:Consolas;color:black;
font-weight:normal'>Presenters at prior conferences include:</span></strong><span
class=apple-converted-space><span style='font-family:Consolas;color:black'> </span></span><span
style='font-family:Consolas;color:black'>The International Monetary Fund,
Barnes and Noble, Pfizer, Union Bank, Wells Fargo, Stanford Linear
Accelerator Center, Cold Spring Harbor Laboratory, Novartis, Columbia
University School of Public Health, Harvard Medical School, HSBC, International
Steel Group, Cap Gemini, AT&T Labs-Research, PricewaterhouseCoopers,
Liberty Mutual Insurance.</span><span style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Presentation
lists from previous conferences:</span><span style='font-family:Consolas;
color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'><a
href="http://cl.exct.net/?qs=2d31e1267ecb037259fc876c88117604af56542c07337a45d71fcca4a958c626">http://www.salforddatamining.com/prevprog.php</a></span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'> </span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><strong><span style='font-family:Consolas;color:black;
font-weight:normal'>Key Links:</span></strong><span style='font-family:Consolas;
color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Conference
website:<span class=apple-converted-space> </span><a
href="http://cl.exct.net/?qs=2d31e1267ecb037267935a5937d1e8f8af738c310f7e590b2708c9226348e160">http://www.salforddatamining.com</a></span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Conference
update list:<a
href="http://cl.exct.net/?qs=2d31e1267ecb0372423fa1458720611a4e25271ae57827f38a765efedffee2b4">http://www.salforddatamining.com/conferenceupdatelist.php</a></span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Registration:<span
class=apple-converted-space> </span><a
href="http://cl.exct.net/?qs=5a61e53249b3a443c55b7a746b314bc30f69ed459566a4dd59f3d10a44e2b412">http://www.salforddatamining.com/docs/2009conferenceForm.pdf</a></span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Abstract
Submissions:<span class=apple-converted-space> </span><a
href="http://cl.exct.net/?qs=5a61e53249b3a443d9b50195bc3eead8d6c61ed201f1147c412e0959de30045c">http://www.salforddatamining.com/2009Abstract.php</a></span><span
style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'>Post-conference
Training:</span><span style='font-family:Consolas;color:black'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas;color:black'><a
href="http://cl.exct.net/?qs=5a61e53249b3a443a7a39bb482bbb9ec7cd319238c25570881c69489549af9d9">http://www.salforddatamining.com/postConferenceTraining.php</a></span><span
style='font-family:Consolas'><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Thanks,<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>Christopher Nelson, Ph.D.<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'>ASA CO/WY Chapter
President<o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><a
href="mailto:chnelson@du.edu">chnelson@du.edu</a><o:p></o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
<p class=MsoNormal><span style='font-family:Consolas'><o:p> </o:p></span></p>
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