Last modified by THS
at 12:17 AM EDT on August 10, 2007
Tom Short's PowerPoint Presentations
John Holcomb's Supporting Materials
1.
Introductory
Materials (Day 1 Session 1)
Presenters: Tom, John, Jean, and Pat
a) Workshop
participant and staff roster
Rochester_CAUSEway_workshop_roster.pdf
b) GAISE
College Report
http://www.amstat.org/education/gaise/GAISECollege.pdf
Assessment Resource Tools for Improving Statistical Thinking (ARTIST)
https://app.gen.umn.edu/artist/
StatCrunch
http://www.statcrunch.com
c) GAISE
College Report Appendix
http://www.amstat.org/education/gaise/GAISECollegeAppendix.pdf
d) Data
Analysis Project Handout
Rochester_CAUSEway_workshop_Data_Analysis_Project.pdf
John's Project Page
http://academic.csuohio.edu/holcombj/projects.htm
2.
Examples of
statistical thinking and how to teach it (Day 1 Session 2)
Presenter: Tom
a) Age
Discrimination Data
http://www.math.iup.edu/~tshort/handouts/age_discrimination.html
| pdf
| Excel
b) Type
I and Type II Errors - Making Mistakes in the Justice System
http://www.intuitor.com/statistics/T1T2Errors.html
| pdf
c)
“The Safest Season”
http://www.math.iup.edu/~tshort/handouts/football_deaths.html
| pdf
3.
Modifying
lessons to focus on conceptual understanding (Day 1 Session 3)
Presenter: John
Rochester_CAUSEway_workshop_Conceptual_Understanding.pdf
4.
Using graphs
and tables to facilitate intuitive understanding (Day 1 Session 4)
Presenter: Tom
a)
Rochester_CAUSEway_workshop_Effective_Displays_slides.pdf
b)
Rochester_CAUSEway_workshop_Effective_Displays_workshops.pdf
Space Shuttle O-Ring Damage graph
5.
Where do
real data live? Web resources, consulting experiences, publications, books (Day
2 Session 1)
Presenter: Tom
a) CAUSEweb
Datasets
http://www.causeweb.org/cwis/SPT--BrowseResources.php?ParentId=5
| pdf
b) “A
Positively Skewed Distribution”
http://www.uvm.edu/~dhowell/StatPages/More_Stuff/Mireault.html
| pdf
c)
DASL
http://lib.stat.cmu.edu/DASL/
| pdf
d) “Cloud
Seeding”
http://lib.stat.cmu.edu/DASL/Stories/CloudSeeding.html
| pdf
e) JSE
Data Archive
http://www.amstat.org/publications/jse/jse_data_archive.html
| pdf
f)
“Readability of
Educational Materials for Patients with Cancer”
http://www.amstat.org/publications/jse/v3n2/datasets.short.html
| pdf
g) Favorite
Datasets from Early (and Late) Phases of Drug Research
http://www.math.iup.edu/~tshort/Bradstreet/
| pdf
h) “Bioequivalence
Study”
http://www.math.iup.edu/~tshort/Bradstreet/part1/part1-table2.html
| pdf
i)
Statlib
http://lib.stat.cmu.edu
| pdf
j)
“The 1988 Data Expo Dataset”
http://lib.stat.cmu.edu/data-expo/1988.html
| pdf
k) Consumer Reports magazine “New Diet Winners,” June 2007, pp. 12-17 | pdf
l)
“Baker's charm a winning touch in Pistons' Palace,”
Jodie Valade,
Cleveland
Plain Dealer, June 1, 2007.
| pdf
6.
Matching
real, frequently complicated, data sets to the introductory statistics course
(Day 2 Session 2)
Presenter: John
Rochester_CAUSEway_workshop_Using_Real_Data.pdf
7.
Service
learning in statistics courses (Day 2 Session 3)
Presenter: Tom
a) service_learning_informed_consent_2006-2007.pdf
b) service_learning_pre-survey_2006-2007.pdf
c) service_learning_post-survey_2006-2007.pdf
The Open Door Smoking Cessation Survey
The Community Guidance Center Data Analysis
n) Community_Service_article.pdf
o) Service Learning in Statistics Courses_references.pdf
8.
Teaching
Prevalence Ratios and Relative Risk (Day 2 Session 4)
Presenter: John
Rochester_CAUSEway_workshop_Teaching_Prevalence_Ratios.pdf
9.
CLT (for
proportions and means) with applets and/or active learning (Day 3 Session 1)
Presenter: John
Rochester_CAUSEway_workshop_CLT.pdf
10. Understanding power and its relationship to
sample size (Day 3 Session 2)
Presenter: Tom
a) “Improved
Batting Averages” by Allan Rossman and Beth Chance
http://www.rossmanchance.com/applets/index.html
| pdf
b) “Java
Applets for Power and Sample Size” by Russ Lenth
http://www.cs.uiowa.edu/~rlenth/Power/
| pdf
11. Overview of Alternative Assessment Methods
(Day 4 Session 1)
Presenter: John
a) Rochester_CAUSEway_workshop_Alternate_Assessment_Methods.pdf
b) Rochester_CAUSEway_workshop_Take_Home_Exams.pdf
12. What the Statistics Education research
tells us (Day 4 Session 3)
Presenter: Tom
a) Statistics
Education Research Journal
http://www.stat.auckland.ac.nz/~iase/serj
| pdf
b) Journal
of Statistics Education
http://www.amstat.org/publications/jse
| pdf
c)
“How
Students Learn Statistics Revisited: A Current Review of Research on
Teaching and Learning Statistics” by Joan Garfield and Dani Ben-Zvi
Joan_Garfield_ISR_paper_July_15_2007.pdf
13. Navigating the resources available through
ARTIST (Day 4 Session 4)
Presenter: John
Rochester_CAUSEway_workshop_ARTIST.pdf
14. Applets and Web technologies (Day 5 Session
?)
Presenter: Tom
a)
StatCrunch
http://www.statcrunch.com | pdf
b)
CAUSEweb Analysis Tools
http://www.causeweb.org/cwis/SPT--BrowseResources.php?ParentId=6 | pdf
c)
Rice Virtual Lab in Statistics
http://onlinestatbook.com/rvls.html | pdf
d)
Rossman/Chance Applet Collection
http://www.rossmanchance.com/applets/index.html | pdf
15. Traditional statistical software packages
(Day 5 Session 2)
Presenter: John
16. Emerging technologies such as blogs, podcasts,
and wikis (Day 5 Session 3)
Presenter: Tom
a) Wikipedia
http://en.wikipedia.org/wiki/Main_Page
| pdf
b) ASA
Section on Statistical Graphics Wiki
http://www.amstat-online.org/sections/graphics/wiki/tiki-index.php
| pdf
c) TalkStats
http://talkstats.com/
| pdf
d) Social
Science Statistics Blog
http://www.iq.harvard.edu/blog/sss/archives/2005/12/fun_with_r2.shtml
| pdf
e) Worth
noting statistically blog
http://www.stat.columbia.edu/~tzheng/tianblog/
| pdf
f)
Introduction to Statistics Podcast
http://www.learnoutloud.com/Podcast-Directory/Science/Mathematics/Introduction-to-Statistics-Podcast/19721
| pdf
17. Data Collection and Design of Experiments (Day 5 Session 1)
Presenter: Tom
a) Half-normal Probability Plot
http://www.itl.nist.gov/div898/handbook/pri/section5/pri598.htm
b) Fractional Factorial Design example
fractional_factorial_design_080908.xls
c) Normal Probability Plots in Minitab
normal_probability_plot.mpj
d) Writing a Protocol for a Clinical Study
http://www.math.iup.edu/~tshort/handouts/protocols.html
e) "Protocols and Pilot Studies: Taking Data Collection Projects Seriously"
http://www.amstat.org/publications/jse/v6n1/short.html
