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Statistical literacy: "understanding
the basic language of statistics (e.g., knowing what statistical terms and
symbols mean and being able to read statistical graphs), and understanding
some fundamental ideas of statistics."
GAISE College Report
"Statistical literacy is the ability to
read and interpret summary statistics in the everyday media: in graphs,
tables, statements, surveys and studies. Statistical literacy is
needed by data consumers – students in non-quantitative majors: majors with
no quantitative requirement such as political science, history, English,
primary education, communications, music, art and philosophy. About 40% of
all US college students graduating in 2003 had non-quantitative majors."
By Milo Schield in "Assessing Statistical Literacy: Take CARE" Ch 11 in
Assessment Methods in Statistical Education, pp. 133-152.
Wiley 2010 Schield excerpts
Short introduction to Statistical Literacy.
For more on confounding, see Standardizing.
UK Parliament Briefing paper on Statistical Literacy
Statistical literacy: "the ability to
read and interpret statistics, and think critically about arguments that use
statistics as evidence"
United Nations
Development Dictionary (move slider to "s") [link broken/missing in
2012]
STATLIT NEWS |
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Yearly highlights of grants, new books, conference papers (ICOTS, ISI,
JSM, JMM), and events involving statistical literacy, numeracy and
quantitative literacy. |
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OTHER RECOMMENDED INTRO BOOKS |
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Victor Cohn (1989),
News and Numbers
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Darrell Huff
(1954),
How To Lie with Statistics
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Edward Tufte (1995),
Visual Explanations
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Ten web-accessible articles
presenting a general background or overview:
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Fourteen articles related to the W. M. Keck Statistical Literacy Project:
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2013 GENERAL INTEREST NEWS |
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2013 May 17.
New core curriculum for Texas higher education.
Six core objectives: Critical Thinking Skills,
Communication Skills, Empirical and Quantitative Skills (the
manipulation and analysis of numerical data or observable facts
resulting in informed conclusions), Teamwork, Social Responsibility
and Personal Responsibility.
Draft of new framework.
Comparison. See also
Fewer math courses in
new Texas school core. The new framework requires each
course within the curriculum to address at least three of the six
total objectives, such as critical thinking and communication, as
mandated by the state of Texas. Hinckley said the biggest difference
between the old core and the new changes will be that some courses
will have fewer options. Also, fewer math courses will satisfy the
curriculum requirements. More math course pathways will likely open
up for students. “Specifically, most students take college algebra
at present. Within a few years, we likely will see more liberal arts
majors take statistics to satisfy the math requirement,” Hinckley
said. Copy
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2013 May 13.
Stats and Stories: a
radio program/podcast involving news and numbers.
By John Bailar and Richard Campbell (director of the journalism
program at Miami University in SW Ohio). "Our first program on
'Baseball and statistics' ... includes an interview with Jim Albert
(the editor of the Journal of Quantitative Analysis and Sports) and
a package and person-on-the-street interviews produced and conducted
by student reporters (see the “About” page on this website for a
listing of all participants)." "Suggestions for future topics
(and guests) are welcome. Topics should be wide ranging covering
serious and lighter topics..."-
2013 April 9.
Statistical Literacy Serves Police Officers in Many Ways
by Dr.
Irina Soderstrom at Eastern Kentucky Univ.
PDF-
2013, April 8 & 11. Street Stats:
Using Real-World Examples to Teach Scientific Literacy across the
Psychology Curriculum by Susan A. Nolan ,
Seton Hall University. 2:30 PM EDT/11:30 AM PDT on Monday
April 8. 1 PM EDT/10 AM PDT on April 11. "Susan Nolan
shares a framework for helping you teach students to think like
scientists. Included are a wide range of sure-fire real-world
examples you can embed across the psychology curriculum—from
introductory classes to capstone courses—as you show students how to
become more proficient in their scientific and quantitative
reasoning." Free one-hour session.
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IMS UPCOMING PROFESSIONAL EVENTS
Statistics |
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2013
May 16-18. The 2013 U.S. Conference on Teaching Statistics (USCOTS)
will be held in Raleigh, North Carolina. Conference theme: "Making
Change Happen." Program.
Thursday Opening Session: "Igniting a Passion for Change in Teaching
Statistics".
Friday: Plenary Session I Horton and Kaplan, "All Statistics are
Wrong, but Some Statistics are Useful"; Breakout Session I: Kaplan
and Horton: "A Tutorial on Modeling with Multiple Variables",
Saturday: Plenary Session IV: Wild, "The Need for Speed in the Path
of the Deluge." -
2013 Aug 4-8.
ASA-JSM
2013 Montreal.
Sunday: Analyses that Inform Policy Decisions are, de
Facto, Causal. Roee Gutman and Donald Rubin, 2:35 PM
The Ethical Practice of Statistics for the Perplexed, Lawrence
Hubert, 4:25 PM.
Monday:
2013 Statistical Literacy Session [168, 10:30 AM]:
* Joel Best: The Relevance of Rhetoric to Statistical
Literacy; * Jane Miller: Getting to know your variables:
A critical element of a statistical analysis;
* Milo Schield: Adding Context to the Introductory Statistics
Course Abstract;
* Rose Martinez-Dawson: Challenging Statistical Claims in the
Media Course and Gender Effects; * Esther Wilder: Key
Components of a Numeracy Infusion Course for Higher Education
(NICHE): Using Best Practices to Train Faculty.
* Use and Misuse of Observational Data - the Critical Importance
of Sound Study Design, Allen Heller 11:25 AM.
Tuesday: Making Causal Inferences from Observed Web
Visits Stephen Iaquaniello 7:01 AM Roundtable
* The Mathematics of Causal Inference: Use it or Lose it Judea
Pearl 2:05 PM.
* Fusion and causal analysis in the big marketing data sets
Igor Mandel 2:50 PM
Wednesday: Defining and Estimating Causal Direct and
Indirect Effects... Judith J Lok 9:05 AM.
* Causal inference in epidemiology using Bayesian
methods. Lawrence C McCandless 9:35 AM
* The Tale of Two Cities: Mediation and Confounding Tyler J
VanderWeele 2:05 PM.
Thursday: Causal Inference with Observational Data ...
Patricia Eckardt, 11:35 AM
Deadlines:
April 1 - April 18, 2013 Online Abstract Editing Open. May 1,
2013 Registration & Housing Open. May 9, 2013 Draft Manuscript
Deadline. May 30, 2013 Early Registration Deadline.-
2013:
August 22-24.
IASE
Satellite to 2013 World Statistics Congress, Macao
In 2013, the satellite will be held 22-24 August, with the theme is
'Statistics Education for Progress', and with the special sub-theme
on 24th August of 'Statistics Education for Progress: Youth and
Official Statistics'. The first two days will feature papers
proposed by IASE while the third day will involve representatives of
IAOS as well as IASE.
Call
for Papers: Deadlines: Abstract submission 19th January 2013.
Acceptance notification 16th February 2013. Submission of
papers to be refereed 25th March. 2013 Referee reports 10th
May 2013. Final refereed papers 14th June 2013. Other papers,
posters, presentations for the proceedings 30th September 2013.
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2013: August
25-30. 59th
ISI WSC 2013
in Hong Kong.
Invited sessions: IPS019 Sources of influence in developing
statistical literacy (James ). IPS049 Data visualization
for youth appeal Will (John Milne Probert). IPS072
International contrasts in educational frameworks for teaching
statistics to non-specialists (John Andrew Harraway).
Call for session
proposals. Call for
short-course proposals.
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2013 Oct 31 - Nov 2.
National
Numeracy Network 2013 Annual Meeting. San Diego, CA.
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2013 Nov 16-19,
DSI-Baltimore.
Decision Analytics — Rediscovering Our Roots.
Baltimore Marriott Waterfront.
Submission Deadlines: April 1, 2013. Refereed papers and
competitions, and miniconference proposals May 1, 2013.
Abstracts and proposal.
Call for papers. Also Decision Science
Journal of Innovative Education.
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2014: July 7-11.
2014 IMS Annual Meeting Sydney, Australia
2014: July 13-18. ICOTS-9
Flagstaff, Arizona, USA.
Theme: “Sustainability in Statistics
Education”; Chair International Program Committee: Tim Dunne, South
Africa.
TOPICS
Topic 7: Statistical
literacy in the wider society. 7A Statistical literacy
beyond the classroom 7B Statistical literacy requirements for
teachers 7C Assessment of statistical literacy 7D Best practices in
developing statistical literacy 7E Factors that affect statistical
literacy. 7A Abstract: “How do we engage people in
the learning of statistical literacy beyond a typical classroom
setting? What are innovative methods by which the knowledge and
concepts learned will be sustained and as an integral part of
lifelong learning? This section welcomes papers addressing
innovative methods and research work on teaching/learning
statistical literacy beyond classroom. Some examples are methods for
engaging adult learners, projects beyond classroom, serving learning
involving communities, use of technology to engage students learning
and using statistical literacy in global world and about the global
world.”
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